Goldman Sachs BDC (GSBD) Cash & Equivalents (2021 - 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 (2021 - 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 | 44.95 Bn | 30.63 Bn | - | 3.10 Bn |
| 2 | Orix | 41.97 Bn | 42.47 Bn | - | 6.08 Bn |
| 3 | Royalty Pharma | 33.14 Bn | 33.05 Bn | - | 811.99 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.99 Bn | 24.99 Bn | - | - |
| 5 | Affirm Holdings | 23.75 Bn | 17.44 Bn | - | 1.63 Bn |
| 6 | Synchrony Financial | 23.25 Bn | -44.72 Bn | - | 16.19 Bn |
| 7 | Royal Gold | 19.67 Bn | 18.90 Bn | 390.45 Mn | 182.47 Mn |
| 8 | Annaly Capital Management | 14.04 Bn | 5.13 Bn | - | 2.91 Bn |
| 9 | Ares Capital | 13.76 Bn | 11.19 Bn | - | 383.00 Mn |
| 10 | Goldman Sachs BDC | 1.03 Bn | 1.03 Bn | - | 14.43 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 171.60 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();