Cycle on Jun 22, 2026

I will list the open threads on this topic to understand what has already been prioritized or what we are currently watching.

I will now retrieve the existing findings on this topic to see what has already been documented and where we can expand or update our research.

The topic is about how the AI economy is splitting US metros apart. Let's look at the instructions. We have access to public-markets data. Let's call `market_view` for: - macro backdrop - sector: Real Estate - key office REITs mentioned in the brief: SL Green (SLG), Boston Properties (BXP), Vornado (VNO) - key data-center REITs (e.g., Equinix EQIX, Digital Realty DLR) - key regional banks with CRE exposure (e.g., NYCB / Flagstar, Valley National VLY, or others) to check their performance and earnings commentary. Let's start with `market_view` for `macro`, `sector` (Real Estate), and key office REITs. Let's state the intent and call `market_view`. I will first look at the macro environment and the real estate sector.

I will call `market_view` for the real estate sector.

Now let's check the tickers for key office REITs mentioned in the brief: - SL Green (SLG) - Boston Properties (BXP) - Vornado (VNO) And let's also check a major data center REIT like Digital Realty (DLR) and a key office REIT or regional bank if we want to. Let's do `SLG`, `BXP`, `VNO`, and `DLR`. I will make `market_view` calls for these tickers. Let's start with `SLG` and `BXP`.

Now let's pull BXP (Boston Properties) and VNO (Vornado Realty Trust). I will call `market_view` for both. Let's do `BXP` first.

Let's pull `VNO` (Vornado Realty Trust) and `EQIX` (Equinix) or `DLR` (Digital Realty) to see the other side of the bifurcation. Let's call `market_view` for `VNO` and `DLR`. I will do `VNO` first.

Let's pull `DLR` (Digital Realty Trust) to see the data center side. I will call `market_view` for `DLR`.

We have some great public markets data. Let's do some web searching to track down: 1. Metro office vacancy, CMBS delinquency, and regional-bank CRE concentration. 2. Home price and rent divergence across metros (Case-Shiller, Zillow/Redfin commentary). 3. Migration and job-posting data, specifically highlighting how the AI economy is splitting US metros apart. 4. Any specific news about Seattle, Austin, San Francisco, and the data-center geography (e.g. Northern Virginia / Loudoun County, Atlanta, etc.). Let's do a web search for how AI is driving regional real estate divergence, focusing on San Francisco, Seattle, Austin, etc. Let's search for: `AI economy splitting US metros real estate office housing` or `office vacancy metro divergence SF Seattle Austin 2026`. I will search for these terms.

Let's fetch the CommercialCafe "U.S. Office Market Report June 2026" or Yardi Matrix "U.S. Office Market Outlook – April 2026" or GlobeSt "Office Vacancy Falls to 17.8% as Pipeline Remains..." to see the actual numbers. Let's do a search for the Yardi Matrix report from June 2026 or similar to get the latest. Let's search: `site:yardimatrix.com office vacancy June 2026` or `site:yardimatrix.com office vacancy 2026`. Let's see.

Let's fetch `https://www.yardimatrix.com/blog/us-office-market-outlook-april-2026/` to see what detailed figures it has. I will fetch this URL.

Wow! Yardi Matrix report from April 2026 says: - National office vacancy reached 17.8 percent as of March 2026, which is 210 basis points lower over the past 12 months. - Austin remains the metro with the highest rate nationwide at 26.3% (down 230 bps from its peak in 2025, due to excess supply). - Miami has the lowest vacancy rate nationwide at 12.5%. Manhattan is at 13.1%. - San Francisco led vacancy recovery with a 540 basis point decline from a year ago! - Office prices: San Francisco sold at $868 per square foot in March 2026, with $754M in total dollar volume. Manhattan properties traded at $707 per square foot. Let's do a search for more recent Yardi Matrix reports, maybe from May or June 2026. Let's look for `site:yardimatrix.com "Office Market Outlook" 2026`. I will search for this.

Let's fetch the `U.S. Office Market Outlook – April 2026` page, which was published on May 25, 2026 (or wait, the first search result is "U.S. Office Market Outlook - Yardi Matrix" with URL `https://www.yardimatrix.com/blog/us-office-market-outlook/` which might be a rolling page or updated recently). Let's fetch `https://www.yardimatrix.com/blog/us-office-market-outlook/` to see if there is a more recent one (like May 2026 data published in June 2026). I will fetch it.

This is incredibly valuable and fresh data. The May 2026 report (with data as of April 2026) shows: - National office vacancy rate was 17.6% in April 2026 (down 210 basis points over the past 12 months). - Miami had the lowest vacancy rate nationwide at 12.5% (down 300 basis points over the past 12 months). - Manhattan followed with 13.1% and the same YoY improvement. - Seattle had the highest vacancy rate nationwide at 25.2%, despite a 180-basis-point recovery. Wait, let's look at this carefully: "In contrast, Seattle's 25.2 percent stood out as the highest vacancy rate nationwide, despite a 180-basis-point recovery." This is a key piece of information. - San Francisco led all markets in vacancy improvement, down 570 basis points year-over-year! This is a massive recovery, driven by the AI boom. - San Francisco office prices: properties sold at an average of $686 per square foot in April 2026, with $1.6 billion in total volume. (In March, it was $868 per square foot with $754M in volume). - Manhattan led in office rents at $69.29 per square foot, followed by San Francisco's $62.03 per square foot. Wait, let's examine the thread `Q2 2026 Metro Office Vacancy and Net Absorption Reports`. It says: "Track the Q2 2026 office vacancy rates for San Francisco, Seattle, and Austin to see if the AI-driven divergence continues or if macroeconomic headwinds trigger a broader downturn. Fires when Q2 2026 office vacancy rates and net absorption data are released by major commercial brokerages (CBRE, Cushman & Wakefield, Colliers) in July/August 2026. This will verify if SF's AI-driven vacancy compression (currently 30.8%) and Seattle's deterioration (currently 33.3%) persist." Wait, why does Yardi Matrix say Seattle's vacancy is 25.2% and San Francisco's vacancy is recovering, while the current watch says SF's vacancy is "currently 30.8%" and Seattle's is "currently 33.3%"? Ah! Commercial brokerages like CBRE, Cushman & Wakefield, or Colliers use different definitions (e.g., they might include sublease space or look only at certain classes, whereas Yardi Matrix looks at all office spaces or has a different database). This is a classic divergence in real estate data definitions! Let's search for CBRE or Colliers Q1 2026 or Q2 2026 reports for San Francisco, Seattle, and Austin, to see if there are any updates, or if we can find more precise numbers. Let's search: `CBRE San Francisco office vacancy Q1 2026` or `"Colliers" San Francisco office vacancy 2026`. I will search for this.

Let's fetch `https://www.bizjournals.com/sanfrancisco/news/2026/03/25/q1-office-market-cbre-net-absorption-vacancy.html` to see the Q1 2026 data for SF. Wait, let's also search for the LinkedIn post `CBRE SF Office Market Report: Strong Q1 2026 Absorption` or other sources to get the details. Let's do a search on `San Francisco office vacancy falls to 30.8% in first quarter` to see if there is another article about it if bizjournals is paywalled. Let's search: `"San Francisco office vacancy falls to 30.8% in first quarter"` or `"office vacancy" "San Francisco" "30.8%"`. I will search for this.

This is exactly what we need! Let's fetch `https://www.gmtoday.com/business/sky-high-office-vacancy-levels-haunt-bay-area-s-three-major-downtowns/article_9eaf8a4c-b944-48cf-b721-7cd3af827293.html` to see the exact details. I will fetch this URL.

This is extremely useful. Let's look at the numbers for the Bay Area: - Cushman & Wakefield Q1 2026 report: - San Jose downtown vacancy: 30.8% (at end of March 2026). - San Francisco downtown vacancy: 31.1% (down from peak of 33.8% in Q3 2024). - Oakland downtown vacancy: 37.8%. - Wait! Let's check the LinkedIn post from Pike Pham: "San Francisco office vacancy just dropped again—to 30.8%, down 200 bps in a single quarter. But the real story isn't vacancy—it's demand. According to last..." Wait! Let's search LinkedIn or look for CBRE Q1 2026 San Francisco office vacancy. Is it 30.8% or 31.1%? So CBRE reported 30.8% for San Francisco in Q1 2026 (down 200 bps in a single quarter from 32.8% in Q4 2025). Yes, the CBRE report has SF office vacancy falling to 30.8% in Q1 2026. Let's do a search for Seattle office vacancy in Q1 2026, and Austin office vacancy in Q1 2026 to see if we can find precise figures for those. Let's search: `"Seattle" office vacancy Q1 2026` and `"Austin" office vacancy Q1 2026`. I will search for this.

Let's fetch the Cushman & Wakefield Q1 2026 Seattle report if possible, or look at the `seattlered.com` article or `Colliers` report. First, let's fetch `https://seattlered.com/economy/seattle-office-vacancy-rate-worst-nation-2026/4118209` or search for its content to get the details. Let's do a fetch of `https://seattlered.com/economy/seattle-office-vacancy-rate-worst-nation-2026/4118209`. Wait, if that doesn't resolve, let's fetch the Cushman & Wakefield PDF or search for quotes from it. Let's see if we can fetch `https://assets.cushmanwakefield.com/-/media/cw/marketbeat-pdfs/2026/q1/us-reports/office/seattle-downtown_americas_marketbeat_office_q12026.pdf?rev=c21af0ab27d24d6894a74bb72ba5ddba` or if it's a PDF. The tool description says `web_fetch` fetches markdown. We can try to fetch it or search for quotes. Let's search for: `"Seattle's office vacancy rate hit 33.3% in the first quarter of 2026"`. I will search for this.

Let's fetch `https://www.seattlebrief.com/story/seattles-office-vacancy-rate-is-the-worst-in-the-nation-at-33-q1-2026-report-confirms/69f2c00d4fa357541726bb1c` to get the core details. I will fetch this URL.

Wow, this is fantastic! This is incredibly specific and fits perfectly into our thesis. Let's see: - Seattle's office vacancy hit 33.3% in Q1 2026, the highest among major U.S. markets (according to Cushman & Wakefield / local business reports), double the national average of 20.2% (or whatever national average is used by Cushman & Wakefield, which is 20.2%). - Business leaders attribute Seattle's high vacancy rate to tax policies, including over a billion dollars in new employer taxes (e.g. Seattle JumpStart tax), which are pushing businesses to Bellevue and other Eastside submarkets. - Compare this with San Francisco: SF office vacancy fell to 30.8% in Q1 2026, driven by record net absorption from AI companies. This shows a very clear divergence! SF is recovering because of the massive AI boom, while Seattle is deteriorating (hitting 33.3%) because of business flight and lack of AI-centric leasing tailwinds in the urban core. Wait, let's look at Austin. Let's do a search on Austin's office vacancy rate in Q1 2026. I will search for `"Austin" office vacancy Q1 2026`.

Let's do a search on `"Colliers" "Austin" office vacancy Q1 2026` or check the Savills report or CBRE report to see what the vacancy rate is. Let's search: `"Austin" "office vacancy" "Q1 2026"`. I will search for this.

Let's look at the X post `Austin, Texas Office Vacancy Rate Q1 2026 27.1% Inventory 66,656,406 Square Feet Direct Vacant 14,747,353. Sublet Vacant 3,328,811` and the CRE Daily article `Austin Office Job Growth Surges as Vacancy Stays High - CRE Daily` which says "According to Colliers, the Q1 2026 office vacancy rate was 22.4...". And Partners Real Estate Q1 2026 Austin report. Wait, let's fetch `https://www.credaily.com/briefs/austin-office-job-growth-surges-as-vacancy-stays-high/` to see the details of Austin. I will fetch this URL.

This is an incredibly rich article! It perfectly explains the paradox in Austin's real estate market: - Austin leads the US in office-using employment growth, with a massive **34% increase** from 2019 to 2025 (outpacing Raleigh's 23% and other Sun Belt cities). - Yet, Austin's office vacancy rate stands at a high **22.4%** in Q1 2026 (according to Colliers), well above the national average (which is around 17.6% to 18.6% depending on the source). - The reason: **A massive post-pandemic supply glut**. Developers added close to **14 million square feet** of new office space since 2020. This oversupply far outpaced immediate demand, creating a severe supply-demand mismatch. - But construction has slowed substantially, with only 756,000 SF set to finish by the end of Q3 2026. Positive net absorption returned in Q1 2026, signaling that tenant demand is finally starting to catch up. Let's do a quick search on how the residential real estate market and home prices are behaving in these same metros. We have: - San Francisco / Silicon Valley (AI wealth supercharging housing, home prices rising). - Seattle (office collapse, what about residential?). - Austin (office vacancy high, what about residential?). Let's search for: `Case-Shiller home price divergence metro SF Seattle Austin 2026` or `Zillow Redfin home price index Austin Seattle San Francisco 2026`. I will search for this.

Ah! The web search budget is spent. No problem, we have and can compile amazing data! Let's review what we have: 1. **Zillow Home Values (as of May 31, 2026)**: - **San Francisco, CA**: Average home value is **$1,393,773**, **up 7.6%** over the past year! (Updated 5/31/2026). This is a massive surge, directly confirming our prior finding `ai-housing-boom-sf-bay-area` and showing how the AI wealth is supercharging SF housing. - **Austin, TX**: Average home value is **$510,722**, **down 5.4%** over the past year (according to Zillow, with some reports showing dips among the largest in the US). This shows that Austin's housing market is experiencing a correction, coinciding with its massive office oversupply and tech-sector recalibration. - **United States**: Average home value is **$370,320**, **up only 0.7%** over the past year. - This represents a massive divergence! SF is up 7.6% YoY, while Austin is down 5.4% YoY. This is a perfect example of localized housing cycles fracturing the national market, and the AI map being the divider. Let's look at **Office Vacancy and Commercial Real Estate Divergence**: - **National office vacancy rate** stood at **17.6%** in April 2026, representing a 210-basis-point year-over-year drop (Yardi Matrix May 2026 report). - **San Francisco**: - CBRE reported that San Francisco office vacancy fell to **30.8% in Q1 2026**, down 200 basis points in a single quarter (from 32.8% in Q4 2025). - Cushman & Wakefield reported SF CBD vacancy at **31.1% in Q1 2026**, down from its peak of 33.8% in Q3 2024. - Yardi Matrix noted that San Francisco led all US markets in vacancy improvement, down 570 basis points year-over-year! - This recovery is directly driven by the AI boom, with massive leasing demand and record net absorption from AI companies (e.g. Databricks expanding its footprint). - **Seattle**: - Seattle's office vacancy hit **33.3% in Q1 2026** (according to Cushman & Wakefield / local business reports), the worst of any major U.S. market and double the national average. - Business leaders attribute Seattle's high vacancy to tax policies (including over a billion dollars in new employer taxes like JumpStart), which are pushing businesses to Bellevue and other Eastside submarkets. - **Austin**: - Austin's office vacancy stood at **22.4% in Q1 2026** (according to Colliers), nearly unchanged from 22.5% the previous year. - Why? A massive post-pandemic supply glut. Developers delivered close to **14 million square feet** of new office space since 2020, far outpacing even strong job growth (Austin saw a massive 34% increase in office-using employment from 2019 to 2025). Let's look at **Public Markets Data (Office vs. Data Center REITs)**: - **Office REITs**: - **SL Green (SLG)**: TTM Revenue of $937.4M, down 4.0% YoY. Net loss of $78.5M in Q1 2026. High leverage with $6.54B in total debt and an 18.2x Debt/EBITDA ratio. However, stock has gained 21.9% in the past month due to asset sales raising $100M and a move toward student housing/non-traditional office projects (e.g. 15 Beekman Street Pace University dorms). - **Boston Properties (BXP)**: TTM Revenue of $3.16B, up only 0.6% YoY. Total debt of $15.97B with a 10.0x Debt/EBITDA ratio. BXP is trying to adapt by converting vacant office space into flexible, furnished suites via its "FLEX by BXP" platform. - **Vornado Realty Trust (VNO)**: TTM Revenue of $1.85B, down 2.2% YoY. Total debt of $8.41B with an 11.2x Debt/EBITDA ratio. Stock has rallied 44.8% over the past 3 months to $37.81, driven by robust leasing momentum in premium Manhattan assets and asset sales/Form 144 restricted stock filings. - **Data Center REITs (The AI Infrastructure Winners)**: - **Digital Realty Trust (DLR)**: TTM Revenue of $6.31B, **up 16.7% YoY**! Q1 2026 earnings surged **67.6% YoY**, marking the fourth consecutive beat. DLR has a massive $67.30B market cap, carrying $19.22B in debt but with a much healthier 6.7x Debt/EBITDA ratio. This shows the massive capital pull of the AI digital infrastructure boom. - **Equinix (EQIX)**: Market cap of $107.72B, with **12.1% YoY revenue growth** and a 24.3% profit margin. This is a brilliant, cohesive, and deeply evidence-backed picture of how the AI economy is fracturing the real estate market. We can update several existing findings and tell a highly compelling story: 1. `us-housing-market-regional-fracture-case-shiller` (Localized Housing Cycles): Let's update this note to show the massive divergence between San Francisco (up 7.6% YoY to $1,393,773) and Austin (down 5.4% YoY to $510,722) as of May 31, 2026. 2. `ai-housing-boom-sf-bay-area` (AI Wealth in SF): Let's update this to reflect the latest Zillow May 2026 data where SF home values rose 7.6% YoY. 3. `office-vacancy-metro-divergence-sf-seattle-austin` (Tech Metros Diverge): Let's update this note using the Q1 2026 Cushman & Wakefield, CBRE, and Colliers reports. Seattle's vacancy hit a nation-worst 33.3% while SF's fell to 30.8% (down 200 bps in a single quarter) due to AI leasing. Austin is at 22.4% due to a 14M SF post-pandemic supply glut, despite leading the nation in office-using job growth (34% increase 2019-2025). 4. `data-center-reit-equinix-leads-real-estate-divergence` (Data Center REITs vs Office REITs): Let's update this note using the latest Q1 2026 earnings and public market views for SLG, BXP, VNO, and DLR. DLR's revenue is up 16.7% YoY and earnings up 67.6% YoY, while office REITs struggle with high debt loads (SLG 18.2x, VNO 11.2x, BXP 10.0x) and declining or flat revenues. Let's check if there are any other notes we should update. No other notes seem to need updates, but these four are absolutely central to the topic and the user's brief. Let's write the notes carefully. First, let's write the update for `office-vacancy-metro-divergence-sf-seattle-austin`. Wait, let's look at the instructions for `write_note`: - One note per theme. - Name and link the actual thing (the story, article, paper, or page). - Carry 1-2 representative verbatim quotes, copied exactly, each kept with the link it came from. - No YAML frontmatter. The title is the first `# ` heading and the slug is the slug parameter. - Slugs are stable identities. Reuse the existing slugs: - `office-vacancy-metro-divergence-sf-seattle-austin` - `us-housing-market-regional-fracture-case-shiller` - `ai-housing-boom-sf-bay-area` - `data-center-reit-equinix-leads-real-estate-divergence` Let's write the first note. I will write the updated note for `office-vacancy-metro-divergence-sf-seattle-austin`.

Let's write the second note, which updates `us-housing-market-regional-fracture-case-shiller` (Localized Housing Cycles Fracture the National Real Estate Market). Let's make sure it contains the latest May 31, 2026 data: - San Francisco home values rose 7.6% YoY to $1,393,773. - Austin home values fell 5.4% YoY to $510,722. - US average home value rose 0.7% YoY to $370,320. This is a beautiful, concrete demonstration of the housing market fracturing along the AI boom lines. Let's write the note.

Now let's write the third note, which updates `ai-housing-boom-sf-bay-area` (AI Wealth Supercharges San Francisco and Silicon Valley Housing Markets). Let's use the latest May 31, 2026 data: SF home values are at $1,393,773, up 7.6% YoY, with homes going pending in just 13 days, and tie it back to the AI wealth boom. Let's write the note.

Now let's write the fourth note, which updates `data-center-reit-equinix-leads-real-estate-divergence` (AI Digital Infrastructure Pulls Capital as Data Center REITs Eclipse Office Assets). Let's use the latest public-markets data: - Data Center REITs: - Digital Realty Trust (DLR) has a $67.30B market cap, TTM revenue of $6.31B (+16.7% YoY), Q1 2026 earnings surged 67.6% YoY (beating estimates for 4 consecutive quarters), and trades at $188.15. Debt/EBITDA is 6.7x. - Equinix (EQIX) has a $107.72B market cap, TTM revenue growth of 12.1% YoY, and trades with a high valuation multiple (P/E of 75.74). - Office REITs: - SL Green (SLG): TTM revenue of $937.4M (-4.0% YoY), reported a net loss of $78.5M in Q1 2026, and carries a high Debt/EBITDA of 18.2x. - Boston Properties (BXP): TTM revenue of $3.16B (+0.6% YoY), but carries a massive $15.97B debt load (10.0x Debt/EBITDA). It is attempting to convert vacant offices into flexible spaces via "FLEX by BXP". - Vornado (VNO): TTM revenue of $1.85B (-2.2% YoY), carries $8.41B in debt (11.2x Debt/EBITDA). This is a perfect, hard-number comparison of how capital is being pulled away from traditional commercial office assets and concentrated into AI infrastructure (data centers). Let's write the note.

This is excellent. Let's look at the open threads to see if we can resolve any of them. The open thread is: `Q2 2026 Metro Office Vacancy and Net Absorption Reports`. Wait, the trigger is: "Fires when Q2 2026 office vacancy rates and net absorption data are released by major commercial brokerages (CBRE, Cushman & Wakefield, Colliers) in July/August 2026. This will verify if SF's AI-driven vacancy compression (currently 30.8%) and Seattle's deterioration (currently 33.3%) persist." Since today is June 22, 2026, Q2 2026 reports are not out yet (they will be released in July/August 2026). So we should NOT resolve this thread yet, as it is an ongoing watch expected to fire around August 15, 2026. Wait, let's register a new watch or a new thread if we want, or do we have any other things to watch? Let's see: We can register a watch for the Zillow home value index releases (ongoing) or a dated catalyst for the Q2 2026 office reports. The Q2 2026 office vacancy report is already registered as a watch! Let's review the existing watch: - ID: `019eca6c-b6da-7bbe-98fe-77d33d595837` - Title: `Q2 2026 Metro Office Vacancy and Net Absorption Reports` - Expected fire date: `2026-08-15T00:00:00Z` - Cardinality: `ongoing` - Watch type: `scheduled_release` or `dated_catalyst` (in `list_threads` result, it says kind: `watch`). Wait, let's register a watch for the Q2 2026 earnings reports of SLG, BXP, VNO, and DLR to see if their financial performance continues to diverge. Let's see: - BXP's Q2 2026 earnings report is scheduled for July 30, 2026. - DLR's Q2 2026 earnings report is also expected in late July 2026. Let's register a watch for this! I will call `record_watch` to register this.

This is great! We have registered a high-quality watch. Now let's call `finish_cycle`. I will call the `finish_cycle` tool.

I have completed the research cycle and updated the findings with high-quality, fresh evidence. Here is a summary of the work done: 1. **Tech Metros Office Vacancy Divergence (`office-vacancy-metro-divergence-sf-seattle-austin`)**: * **San Francisco**: Vacancy fell to **30.8% in Q1 2026** (CBRE) / **31.1%** (Cushman & Wakefield), down from a peak of 33.8% in Q3 2024. This dramatic recovery is driven by AI leasing (e.g., Databricks footprint expansion). San Francisco led all U.S. markets in vacancy improvement, declining 570 bps year-over-year. * **Seattle**: Vacancy hit a nation-worst **33.3% in Q1 2026**, double the national average. Business leaders attribute this to local tax burdens (over a billion dollars in new employer taxes like JumpStart), driving flight to Bellevue and other Eastside submarkets. * **Austin**: Vacancy remains high at **22.4% in Q1 2026** (Colliers) due to a massive post-pandemic supply glut (14M SF built since 2020), despite leading the nation in office-using job growth (+34% from 2019 to 2025). 2. **Localized Residential Housing Cycles (`us-housing-market-regional-fracture-case-shiller` and `ai-housing-boom-sf-bay-area`)**: * Grounded in Zillow data as of May 31, 2026, the national average home value is flat (+0.7% YoY to $370,320). * **San Francisco** home values have surged **7.6% YoY to $1,393,773**, with homes going to pending in just 13 days—directly driven by liquid AI wealth. * **Austin** home values have fallen **5.4% YoY to $510,722**, correcting from its pandemic-era highs. 3. **Public Markets & REIT Divergence (`data-center-reit-equinix-leads-real-estate-divergence`)**: * Evaluated the financial health and leverage profiles of core office vs. data center REITs using latest Q1 2026 earnings and public market views: * **Digital Realty Trust (DLR)**: TTM revenue of **$6.31B (+16.7% YoY)**, Q1 2026 earnings surged **67.6% YoY** (4th consecutive beat). Healthy 6.7x Debt/EBITDA. * **SL Green (SLG)**: TTM revenue fell **4.0% YoY** with a Q1 net loss of $78.5M. Highly leveraged at **18.2x Debt/EBITDA**, forcing asset sales and pivots to student housing. * **Boston Properties (BXP)** & **Vornado (VNO)**: Flat or declining revenues and elevated leverage (10.0x and 11.2x Debt/EBITDA) as they pivot to flexible workspaces and asset disposals. 4. **Future Tracking**: * Registered a new watch for the **Q2 2026 Office vs. Data Center REIT Earnings Releases** to monitor if the financial performance gap continues to widen.