Msc Income Fund (MSIF) Total Liabilities (2011 - 2026)
Msc Income Fund's Total Liabilities came in at $695.03 million for Q2 2026, up 21.9% from $570.28 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Msc Income Fund (MSIF) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Msc Income Fund's Total Liabilities was $642.37 million, up 7.1% from FY2024.
- Total Liabilities has increased in each of the last three years, with a three-year compound annual growth rate of 8.9% (FY2022 to FY2025).
- Going back by year, Total Liabilities was $599.77 million in FY2024 (+15.9%), $517.59 million in FY2023 (+4.0%) and $497.5 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2022.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 9.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2026 (growth of 21.9%), and the weakest in Q3 2025 (a decline of 7.4%).
- Business Quant data shows MSIF's Total Liabilities at $690.4 million (Q1 2026), $642.37 million (Q4 2025) and $563.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 35.84 Bn |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 9.67 Bn |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | 66.29 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 4,198.25 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 1.59 Bn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 10.73 Bn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 105.92 Bn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 130.25 Bn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | 16.65 Bn |
| 10 | Msc Income Fund | 565.69 Mn | 474.11 Mn | - | 686.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 686.23 Mn |
| Jun 30, 2026 | 695.03 Mn |
| Mar 31, 2026 | 690.40 Mn |
| Dec 31, 2025 | 642.37 Mn |
| Sep 30, 2025 | 563.75 Mn |
| Jun 30, 2025 | 570.28 Mn |
| Mar 31, 2025 | 603.54 Mn |
| Dec 31, 2024 | 599.77 Mn |
| Sep 30, 2024 | 608.80 Mn |
| Jun 30, 2024 | 587.84 Mn |
| Mar 31, 2024 | 540.06 Mn |
| Dec 31, 2023 | 517.59 Mn |
| Sep 30, 2023 | 539.35 Mn |
| Jun 30, 2023 | 519.22 Mn |
| Mar 31, 2023 | 504.06 Mn |
| Dec 31, 2022 | 497.50 Mn |
| Sep 30, 2022 | 528.62 Mn |
| Jun 30, 2022 | 524.58 Mn |
| Mar 31, 2022 | 520.20 Mn |
| Dec 31, 2021 | 530.61 Mn |
API Access
Msc Income Fund Total Liabilities 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=total-liabilities&ticker=MSIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MSIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();