Goldman Sachs BDC (GSBD) Cash & Equivalents (2014 - 2026)
Goldman Sachs BDC (GSBD) posted Cash & Equivalents of $14.43 million for Q2 2026, down 86.6% from $108.04 million a year earlier and down 65.5% from the prior quarter.
Goldman Sachs BDC (GSBD) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, Goldman Sachs BDC's Cash & Equivalents came in at $43.21 million, down 30.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, Goldman Sachs BDC's Cash & Equivalents was $61.8 million in FY2024 (+18.0%), $52.36 million in FY2023 (+32.2%), $39.6 million in FY2022 (+17.3%) and $33.76 million in FY2021 (+5.1%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents in data going back to Q3 2021.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last three quarters, with growth averaging 9.0% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2023, with growth of 134.5%; the weakest was Q2 2026, with a decline of 86.6%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $41.85 million (Q1 2026), $43.21 million (Q4 2025) and $115.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 2.70 Bn |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 513.66 Mn |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | 7.17 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 10.92 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 184.54 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 2.07 Bn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 15.90 Bn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 2.18 Bn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | 722.00 Mn |
| 10 | Goldman Sachs BDC | 945.03 Mn | 836.91 Mn | - | 8.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.63 Mn |
| Jun 30, 2026 | 14.43 Mn |
| Mar 31, 2026 | 41.85 Mn |
| Dec 31, 2025 | 43.21 Mn |
| Sep 30, 2025 | 115.18 Mn |
| Jun 30, 2025 | 108.04 Mn |
| Mar 31, 2025 | 82.76 Mn |
| Dec 31, 2024 | 61.80 Mn |
| Sep 30, 2024 | 52.96 Mn |
| Jun 30, 2024 | 61.61 Mn |
| Mar 31, 2024 | 52.32 Mn |
| Dec 31, 2023 | 52.36 Mn |
| Sep 30, 2023 | 76.60 Mn |
| Jun 30, 2023 | 42.41 Mn |
| Mar 31, 2023 | 47.17 Mn |
| Dec 31, 2022 | 39.60 Mn |
| Sep 30, 2022 | 32.67 Mn |
| Jun 30, 2022 | 44.77 Mn |
| Mar 31, 2022 | 31.41 Mn |
| Dec 31, 2021 | 33.76 Mn |
Goldman Sachs BDC Cash & Equivalents 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=cash-and-equivalents&ticker=GSBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GSBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();