Goldman Sachs BDC (GSBD) Total Non-Current Liabilities (2022 - 2026)
Goldman Sachs BDC's Total Non-Current Liabilities came in at $1.91 billion for Q2 2026, down 2.6% from the prior quarter.
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Analysis
Goldman Sachs BDC (GSBD) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Goldman Sachs BDC's Total Non-Current Liabilities was $1.96 billion, down 3.6% from FY2024.
- Total Non-Current Liabilities carries a three-year compound annual growth rate of -2.1% (FY2022 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.03 billion in FY2024 and $2.09 billion in FY2022.
- Business Quant data shows GSBD's Total Non-Current Liabilities at $1.96 billion (Q1 2026), $1.96 billion (Q4 2025) and $1.93 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 77.86 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 9.32 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 4,200.68 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 10.25 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 105.01 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 1.76 Bn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 126.51 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 16.51 Bn |
| 10 | Goldman Sachs BDC | 1.02 Bn | 1.02 Bn | - | 1.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.91 Bn |
| Mar 31, 2026 | 1.96 Bn |
| Dec 31, 2025 | 1.96 Bn |
| Sep 30, 2025 | 1.93 Bn |
| Dec 31, 2024 | 2.03 Bn |
| Jun 30, 2023 | 2.04 Bn |
| Dec 31, 2022 | 2.09 Bn |
API Access
Goldman Sachs BDC Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GSBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GSBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();