Saul Centers (BFS) Long-Term Debt Repayments (2010 - 2026)
Saul Centers' Long-Term Debt Repayments came in at $99.39 million for Q2 2026, compared with $8.86 million a year earlier and up 976.4% from the prior quarter.
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Analysis
Saul Centers (BFS) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Saul Centers reported Long-Term Debt Repayments of $136.7 million, up 147.9% year-over-year; for FY2025, it came in at $45.67 million, down 56.8% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $105.59 million in FY2024 (+149.4%), $42.33 million in FY2023 (-75.7%), $174.1 million in FY2022 (+308.3%) and $42.64 million in FY2021 (-6.6%).
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q3 2022.
- Year-over-year, Long-Term Debt Repayments increased in five of the last seven quarters, with growth averaging 20.4%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2024 (growth of 626.2%), and the weakest in Q3 2023 (a decline of 92.6%).
- Business Quant data shows BFS's Long-Term Debt Repayments at $9.23 million (Q1 2026), $19.11 million (Q4 2025) and $8.96 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 1.12 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.09 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 600.00 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 34,000.00 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 868.15 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 6.00 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Saul Centers | 745.06 Mn | 918.71 Mn | - | 99.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.39 Mn |
| Mar 31, 2026 | 9.23 Mn |
| Dec 31, 2025 | 19.11 Mn |
| Sep 30, 2025 | 8.96 Mn |
| Jun 30, 2025 | 8.86 Mn |
| Mar 31, 2025 | 8.73 Mn |
| Dec 31, 2024 | 29.17 Mn |
| Sep 30, 2024 | 8.39 Mn |
| Jun 30, 2024 | 59.51 Mn |
| Mar 31, 2024 | 8.53 Mn |
| Dec 31, 2023 | 8.42 Mn |
| Sep 30, 2023 | 8.30 Mn |
| Jun 30, 2023 | 8.20 Mn |
| Mar 31, 2023 | 17.42 Mn |
| Dec 31, 2022 | 7.81 Mn |
| Sep 30, 2022 | 112.76 Mn |
| Jun 30, 2022 | 17.06 Mn |
| Mar 31, 2022 | 36.47 Mn |
| Dec 31, 2021 | 8.97 Mn |
| Sep 30, 2021 | 7.57 Mn |
API Access
Saul Centers 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=BFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "BFS", "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=BFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();