Goldman Sachs BDC (GSBD) Interest Expenses (2014 - 2026)
Goldman Sachs BDC (GSBD) recorded Interest Expenses of $30.1 million in Q2 2026, up 13.9% from $26.42 million a year earlier and up 0.2% from the prior quarter.
Goldman Sachs BDC (GSBD) Interest Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Goldman Sachs BDC's Interest Expenses came in at $116.98 million as of Jun 30, 2026, up 4.7% year-over-year; for FY2025, it was $111.56 million, down 1.9% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $113.72 million in FY2024 (+2.2%), $111.3 million in FY2023 (+40.1%), $79.46 million in FY2022 (+34.7%) and $58.99 million in FY2021 (+47.8%).
- The Q2 2026 figure is the highest quarterly Interest Expenses in data going back to Q3 2021.
- On a year-over-year basis, Interest Expenses has increased for three consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 74.0% in Q1 2023, against a decline of 9.2% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $30.04 million (Q1 2026), $28.76 million (Q4 2025) and $28.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 359.00 Mn |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 90.49 Mn |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | 291.98 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 34.06 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 5.12 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 134.37 Mn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 979.00 Mn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 1.43 Bn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | 221.00 Mn |
| 10 | Goldman Sachs BDC | 945.03 Mn | 836.91 Mn | - | 36.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.59 Mn |
| Jun 30, 2026 | 30.10 Mn |
| Mar 31, 2026 | 30.04 Mn |
| Dec 31, 2025 | 28.76 Mn |
| Sep 30, 2025 | 56.16 Mn |
| Jun 30, 2025 | 26.42 Mn |
| Mar 31, 2025 | 28.31 Mn |
| Dec 31, 2024 | 27.70 Mn |
| Sep 30, 2024 | 29.30 Mn |
| Jun 30, 2024 | 29.10 Mn |
| Mar 31, 2024 | 27.61 Mn |
| Dec 31, 2023 | 28.09 Mn |
| Sep 30, 2023 | 28.17 Mn |
| Jun 30, 2023 | 27.78 Mn |
| Mar 31, 2023 | 27.26 Mn |
| Dec 31, 2022 | 25.64 Mn |
| Sep 30, 2022 | 21.98 Mn |
| Jun 30, 2022 | 16.18 Mn |
| Mar 31, 2022 | 15.67 Mn |
| Dec 31, 2021 | 15.04 Mn |
Goldman Sachs BDC Interest Expenses 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=interest-expenses&ticker=GSBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=GSBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();