Msc Income Fund (MSIF) Operating Expenses (2022 - 2026)
Msc Income Fund (MSIF) recorded Operating Expenses of $22.33 million in Q2 2026, up 21.8% from $18.34 million a year earlier and up 32.5% from the prior quarter.
Msc Income Fund (MSIF) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Msc Income Fund's Operating Expenses came in at $78.03 million as of Jun 30, 2026, up 6.5% year-over-year; for FY2025, it came in at $73.63 million, down 5.0% from FY2024.
- Annual Operating Expenses has a four-year compound annual growth rate of 19.0% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $77.51 million in FY2024 (+5.1%), $73.72 million in FY2023 (+44.8%), $50.9 million in FY2022 (+38.4%) and $36.77 million in FY2021.
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2022.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 1.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 64.5% in Q2 2023, against a decline of 15.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.85 million (Q1 2026), $20.52 million (Q4 2025) and $18.34 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 | Msc Income Fund | 534.62 Mn | 452.29 Mn | - | 22.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.33 Mn |
| Mar 31, 2026 | 16.85 Mn |
| Dec 31, 2025 | 20.52 Mn |
| Sep 30, 2025 | 18.34 Mn |
| Jun 30, 2025 | 18.34 Mn |
| Mar 31, 2025 | 16.44 Mn |
| Dec 31, 2024 | 19.23 Mn |
| Sep 30, 2024 | 19.30 Mn |
| Jun 30, 2024 | 19.58 Mn |
| Mar 31, 2024 | 19.40 Mn |
| Dec 31, 2023 | 19.72 Mn |
| Sep 30, 2023 | 18.23 Mn |
| Jun 30, 2023 | 18.83 Mn |
| Mar 31, 2023 | 16.94 Mn |
| Dec 31, 2022 | 15.88 Mn |
| Sep 30, 2022 | 12.87 Mn |
| Jun 30, 2022 | 11.44 Mn |
| Mar 31, 2022 | 10.71 Mn |
Msc Income Fund 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=MSIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MSIF", "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=MSIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();