Barings BDC (BBDC) Operating Expenses (2021 - 2026)
Barings BDC (BBDC) posted Operating Expenses of $1.93 million for Q2 2026, down 16.0% from $2.29 million a year earlier and down 16.8% from the prior quarter.
Barings BDC (BBDC) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Barings BDC was $8.07 million, down 8.3% year-over-year; for FY2025, it was $7.82 million, down 20.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Barings BDC's Operating Expenses was $9.83 million in FY2024 (-1.5%), $9.98 million in FY2023 (+0.7%), $9.92 million in FY2022 (+9.0%) and $9.1 million in FY2021 (+57.0%).
- Quarterly Operating Expenses has run from a low of $1.23 million in Q4 2022 to a high of $3.27 million in Q2 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 7.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 98.1%; the weakest was Q4 2022, with a decline of 46.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.32 million (Q1 2026), $1.93 million (Q4 2025) and $1.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 2.50 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | - |
| 10 | Barings BDC | 905.71 Mn | 905.71 Mn | - | 1.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.93 Mn |
| Mar 31, 2026 | 2.32 Mn |
| Dec 31, 2025 | 1.93 Mn |
| Sep 30, 2025 | 1.90 Mn |
| Jun 30, 2025 | 2.29 Mn |
| Mar 31, 2025 | 1.69 Mn |
| Dec 31, 2024 | 2.39 Mn |
| Sep 30, 2024 | 2.43 Mn |
| Jun 30, 2024 | 2.34 Mn |
| Mar 31, 2024 | 2.68 Mn |
| Dec 31, 2023 | 2.44 Mn |
| Sep 30, 2023 | 2.36 Mn |
| Jun 30, 2023 | 2.45 Mn |
| Mar 31, 2023 | 2.74 Mn |
| Dec 31, 2022 | 1.23 Mn |
| Sep 30, 2022 | 2.96 Mn |
| Jun 30, 2022 | 3.27 Mn |
| Mar 31, 2022 | 2.46 Mn |
| Dec 31, 2021 | 2.31 Mn |
| Sep 30, 2021 | 2.28 Mn |
Barings BDC Operating 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=operating-expenses&ticker=BBDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BBDC", "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-expenses&ticker=BBDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();