Msci (MSCI) Interest Expenses (2010 - 2026)
Msci's Interest Expenses was $71 million in Q2 2026, up 53.7% from $46.2 million a year earlier and up 2.7% from the prior quarter.
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Analysis
Msci (MSCI) Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Msci's Interest Expenses was $257.31 million through Jun 30, 2026, up 39.2% year-over-year; for FY2025, it was $209.89 million, up 13.1% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $185.5 million in FY2024 (-0.6%), $186.68 million in FY2023 (+8.8%), $171.57 million in FY2022 (+7.5%) and $159.61 million in FY2021 (+2.1%).
- The Q2 2026 figure marks the highest quarterly Interest Expenses in data going back to Q1 2010.
- Compared with a year earlier, Interest Expenses has increased for four straight quarters, with growth averaging 19.0% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q2 2026 (growth of 53.7%); the worst was Q4 2024 (a decline of 3.1%).
- Per Business Quant data, MSCI's Interest Expenses in the three quarters before Q2 2026 was $69.1 million (Q1 2026), $63.59 million (Q4 2025) and $53.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 87.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | - |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 71.00 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 52.80 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 59.80 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 65.90 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 13.84 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 218.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 43.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.00 Mn |
| Mar 31, 2026 | 69.10 Mn |
| Dec 31, 2025 | 63.59 Mn |
| Sep 30, 2025 | 53.62 Mn |
| Jun 30, 2025 | 46.20 Mn |
| Mar 31, 2025 | 46.50 Mn |
| Dec 31, 2024 | 45.51 Mn |
| Sep 30, 2024 | 46.69 Mn |
| Jun 30, 2024 | 46.63 Mn |
| Mar 31, 2024 | 46.67 Mn |
| Dec 31, 2023 | 46.95 Mn |
| Sep 30, 2023 | 46.90 Mn |
| Jun 30, 2023 | 46.62 Mn |
| Mar 31, 2023 | 46.21 Mn |
| Dec 31, 2022 | 45.61 Mn |
| Sep 30, 2022 | 44.16 Mn |
| Jun 30, 2022 | 41.09 Mn |
| Mar 31, 2022 | 40.71 Mn |
| Dec 31, 2021 | 40.34 Mn |
| Sep 30, 2021 | 42.14 Mn |
API Access
Msci 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=MSCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "MSCI", "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=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();