Main Street Capital (MAIN) Operating Expenses (2021 - 2026)
Main Street Capital (MAIN) posted Operating Expenses of $5.72 million for Q2 2026, down 3.0% from $5.89 million a year earlier and down 38.4% from the prior quarter.
Main Street Capital (MAIN) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Main Street Capital was $27.26 million, up 4.3% year-over-year; for FY2025, it was $23.53 million, up 1.9% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- In prior years, Main Street Capital's Operating Expenses was $23.1 million in FY2024 (+4.5%), $22.1 million in FY2023 (+70.0%), $13 million in FY2022 (+26.2%) and $10.3 million in FY2021 (+39.2%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 9.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 77.5%; the weakest was Q2 2026, with a decline of 3.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $9.28 million (Q1 2026), $6.53 million (Q4 2025) and $5.73 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 | Main Street Capital | 5.14 Bn | 4.99 Bn | - | 5.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.72 Mn |
| Mar 31, 2026 | 9.28 Mn |
| Dec 31, 2025 | 6.53 Mn |
| Sep 30, 2025 | 5.73 Mn |
| Jun 30, 2025 | 5.89 Mn |
| Mar 31, 2025 | 8.62 Mn |
| Dec 31, 2024 | 6.30 Mn |
| Sep 30, 2024 | 5.32 Mn |
| Jun 30, 2024 | 5.89 Mn |
| Mar 31, 2024 | 5.60 Mn |
| Dec 31, 2023 | 6.00 Mn |
| Sep 30, 2023 | 5.40 Mn |
| Jun 30, 2023 | 5.69 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | 3.39 Mn |
| Sep 30, 2022 | 3.33 Mn |
| Jun 30, 2022 | 3.46 Mn |
| Mar 31, 2022 | 2.82 Mn |
| Dec 31, 2021 | 2.60 Mn |
| Sep 30, 2021 | 2.73 Mn |
Main Street Capital 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=MAIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MAIN", "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=MAIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();