Sl Green Realty (SLG) Long-Term Debt Repayments (2009 - 2026)
Sl Green Realty (SLG) recorded Long-Term Debt Repayments of $511.89 million in Q2 2026, up 169.3% from $190.11 million a year earlier but down 10.6% from the prior quarter.
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Analysis
Sl Green Realty (SLG) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Sl Green Realty's Long-Term Debt Repayments came in at $1.57 billion as of Jun 30, 2026, up 23.6% year-over-year; for FY2025, it came in at $925.77 million, down 41.4% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -21.3% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $1.58 billion in FY2024 (+84.9%), $853.83 million in FY2023 (-60.4%), $2.16 billion in FY2022 (-1.2%) and $2.18 billion in FY2021 (-28.7%).
- Quarterly Long-Term Debt Repayments has ranged from $26.5 million in Q3 2024 to $971.17 million in Q3 2022 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last seven quarters, with growth averaging 156.2%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 516.5% in Q3 2025, against a decline of 95.5% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $572.81 million (Q1 2026), $318.72 million (Q4 2025) and $163.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.03 Bn | 165.05 Bn | 1.47 Bn | 1.19 Bn |
| 2 | Prologis | 123.12 Bn | 117.08 Bn | - | 382.44 Mn |
| 3 | Simon Property | 75.49 Bn | 71.55 Bn | - | 3.06 Bn |
| 4 | Public Storage | 62.37 Bn | 61.09 Bn | - | 183.83 Mn |
| 5 | Realty Income | 56.23 Bn | 54.51 Bn | - | 61.00 Bn |
| 6 | Ventas | 46.05 Bn | 44.73 Bn | - | 133.33 Mn |
| 7 | Extra Space Storage | 33.71 Bn | 32.62 Bn | 650.96 Mn | 6.12 Bn |
| 8 | Vici Properties | 27.71 Bn | 26.06 Bn | 1.06 Bn | 1.75 Bn |
| 9 | Vivmark Residential | 24.79 Bn | 24.57 Bn | - | 738,000.00 |
| 10 | Sl Green Realty | 3.72 Bn | 3.05 Bn | - | 395.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 395.76 Mn |
| Jun 30, 2026 | 511.89 Mn |
| Mar 31, 2026 | 572.81 Mn |
| Dec 31, 2025 | 318.72 Mn |
| Sep 30, 2025 | 163.38 Mn |
| Jun 30, 2025 | 190.11 Mn |
| Mar 31, 2025 | 253.55 Mn |
| Dec 31, 2024 | 797.49 Mn |
| Sep 30, 2024 | 26.50 Mn |
| Jun 30, 2024 | 713.49 Mn |
| Mar 31, 2024 | 41.50 Mn |
| Dec 31, 2023 | 41.49 Mn |
| Sep 30, 2023 | 591.44 Mn |
| Jun 30, 2023 | 141.43 Mn |
| Mar 31, 2023 | 79.47 Mn |
| Dec 31, 2022 | 501.43 Mn |
| Sep 30, 2022 | 971.17 Mn |
| Jun 30, 2022 | 418.06 Mn |
| Mar 31, 2022 | 265.72 Mn |
| Dec 31, 2021 | 645.74 Mn |
API Access
Sl Green Realty Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=SLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SLG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=SLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();