Goldman Sachs BDC (GSBD) Long-Term Debt Repayments (2021 - 2026)
Goldman Sachs BDC's Long-Term Debt Repayments was $166 million in Q2 2026, down 44.7% from $300 million a year earlier and down 82.6% from the prior quarter.
Goldman Sachs BDC (GSBD) Long-Term Debt Repayments (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Goldman Sachs BDC's Long-Term Debt Repayments was $1.93 billion through Jun 30, 2026, up 69.8% year-over-year; for FY2025, it came in at $1.64 billion, up 64.8% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $995.65 million in FY2024 (+75.4%), $567.7 million in FY2023 (-18.7%), $698.5 million in FY2022 (-22.2%) and $898.19 million in FY2021 (-28.8%).
- The Q2 2026 figure marks the lowest quarterly Long-Term Debt Repayments since Q3 2024.
- Compared with a year earlier, Long-Term Debt Repayments was higher in six of the last eight quarters, with growth averaging 54.9%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2025 (growth of 342.1%); the worst was Q2 2023 (a decline of 66.5%).
- Per Business Quant data, GSBD's Long-Term Debt Repayments in the three quarters before Q2 2026 was $951.79 million (Q1 2026), $193 million (Q4 2025) and $619 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 155.22 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 9.80 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 200.00 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 2.15 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 3.11 Bn |
| 10 | Goldman Sachs BDC | 1.02 Bn | 1.02 Bn | - | 166.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 166.00 Mn |
| Mar 31, 2026 | 951.79 Mn |
| Dec 31, 2025 | 193.00 Mn |
| Sep 30, 2025 | 619.00 Mn |
| Jun 30, 2025 | 300.00 Mn |
| Mar 31, 2025 | 529.00 Mn |
| Dec 31, 2024 | 167.65 Mn |
| Sep 30, 2024 | 140.00 Mn |
| Jun 30, 2024 | 197.00 Mn |
| Mar 31, 2024 | 491.00 Mn |
| Dec 31, 2023 | 151.70 Mn |
| Sep 30, 2023 | 183.00 Mn |
| Jun 30, 2023 | 86.00 Mn |
| Mar 31, 2023 | 147.00 Mn |
| Dec 31, 2022 | 193.50 Mn |
| Sep 30, 2022 | 119.00 Mn |
| Jun 30, 2022 | 257.00 Mn |
| Mar 31, 2022 | 129.00 Mn |
| Dec 31, 2021 | 271.00 Mn |
Goldman Sachs BDC 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=GSBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "GSBD", "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=GSBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();