Slm (SLM) Long-Term Debt Repayments (2009 - 2026)
Slm's Long-Term Debt Repayments was $309.94 million in Q3 2026, up 13.0% from $274.23 million a year earlier but down 62.2% from the prior quarter.
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Analysis
Slm (SLM) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Slm's Long-Term Debt Repayments was $1.3 billion through Sep 30, 2026, up 112.9% year-over-year; for FY2025, it came in at $1.2 billion.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $1.28 billion in FY2022 (-5.1%) and $1.35 billion in FY2021 (+34.2%).
- Quarterly Long-Term Debt Repayments has moved between -$863.23 million (Q4 2023) and $820.86 million (Q2 2026) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in five of the last six quarters, with growth averaging 65.5%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2025 (growth of 211.6%); the worst was Q1 2026 (a decline of 60.8%).
- Per Business Quant data, SLM's Long-Term Debt Repayments in the three quarters before Q3 2026 was $820.86 million (Q2 2026), $309.41 million (Q1 2026) and -$138.99 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 62.00 Mn |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | - |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 148.45 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 250.00 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 14.81 Bn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 1.50 Bn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 5.44 Bn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | 4.01 Bn |
| 10 | Slm | 3.07 Bn | -13.28 Bn | - | 309.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 309.94 Mn |
| Jun 30, 2026 | 820.86 Mn |
| Mar 31, 2026 | 309.41 Mn |
| Dec 31, 2025 | -138.99 Mn |
| Sep 30, 2025 | 274.23 Mn |
| Jun 30, 2025 | 275.92 Mn |
| Mar 31, 2025 | 788.84 Mn |
| Dec 31, 2024 | -727.69 Mn |
| Sep 30, 2024 | 233.53 Mn |
| Jun 30, 2024 | 240.99 Mn |
| Mar 31, 2024 | 253.18 Mn |
| Dec 31, 2023 | -863.23 Mn |
| Sep 30, 2023 | 266.54 Mn |
| Jun 30, 2023 | 303.57 Mn |
| Mar 31, 2023 | 293.12 Mn |
| Dec 31, 2022 | 289.68 Mn |
| Sep 30, 2022 | 271.94 Mn |
| Jun 30, 2022 | 335.56 Mn |
| Mar 31, 2022 | 381.01 Mn |
| Dec 31, 2021 | 516.50 Mn |
API Access
Slm 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=SLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SLM", "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=SLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();