Goldman Sachs BDC (GSBD) Operating Income (2018 - 2026)
Goldman Sachs BDC (GSBD) reported Operating Income of $46.22 million for Q3 2025, down 33.7% from $69.67 million a year earlier but up 1.9% from the prior quarter.
Goldman Sachs BDC (GSBD) Operating Income (2018 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Goldman Sachs BDC's Operating Income came in at $200.55 million, down 23.8% year-over-year; for FY2024, it was $257.85 million, up 2.3% from FY2023.
- Operating Income has a four-year compound annual growth rate of 23.4% (FY2020 to FY2024).
- By year, Operating Income came in at $252.08 million in FY2023 (+8.2%), $233.02 million in FY2022 (-2.4%), $238.66 million in FY2021 (+114.4%) and $111.33 million in FY2020.
- Five-year quarterly Operating Income spans a low of $45.36 million in Q2 2025 and a high of $74.45 million in Q3 2023.
- Year over year, Operating Income has now declined in each of the last five quarters, with an average decline of 9.7% over the last eight quarters.
- The high point for year-over-year Operating Income in five years was Q2 2023 (growth of 29.6%); the low point was Q3 2025 (a decline of 33.7%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $45.36 million (Q2 2025), $50.94 million (Q1 2025) and $58.04 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | - |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 410.84 Mn |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | 663.22 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | - |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 303.73 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 187.05 Mn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | - |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | - |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | - |
| 10 | Goldman Sachs BDC | 945.03 Mn | 836.91 Mn | - | 36.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.20 Mn |
| Jun 30, 2026 | 43.06 Mn |
| Mar 31, 2026 | 25.77 Mn |
| Dec 31, 2025 | 43.08 Mn |
| Sep 30, 2025 | 46.22 Mn |
| Jun 30, 2025 | 45.36 Mn |
| Mar 31, 2025 | 50.94 Mn |
| Dec 31, 2024 | 58.04 Mn |
| Sep 30, 2024 | 69.67 Mn |
| Jun 30, 2024 | 68.20 Mn |
| Mar 31, 2024 | 61.94 Mn |
| Dec 31, 2023 | 63.49 Mn |
| Sep 30, 2023 | 74.45 Mn |
| Jun 30, 2023 | 65.38 Mn |
| Mar 31, 2023 | 48.76 Mn |
| Dec 31, 2022 | 69.58 Mn |
| Sep 30, 2022 | 62.02 Mn |
| Jun 30, 2022 | 50.44 Mn |
| Mar 31, 2022 | 50.98 Mn |
| Dec 31, 2021 | 57.64 Mn |
Goldman Sachs BDC Operating Income 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=operating-income&ticker=GSBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=GSBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();