Msci (MSCI) Non Operating Interest Expenses (2010 - 2026)
Msci's Non Operating Interest Expenses came in at $74.8 million for Q3 2026, up 39.6% from $53.6 million a year earlier and up 5.4% from the prior quarter.
Msci (MSCI) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Msci reported Non Operating Interest Expenses of $278.49 million, up 45.2% year-over-year; for FY2025, it was $209.89 million, up 13.1% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Going back by year, Non Operating 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 Q3 2026 figure represents the highest quarterly Non Operating Interest Expenses in data going back to Q1 2010.
- Year-over-year, Non Operating Interest Expenses has increased for five consecutive quarters, with growth averaging 24.0% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2026 (growth of 53.7%), and the weakest in Q4 2024 (a decline of 3.1%).
- Business Quant data shows MSCI's Non Operating Interest Expenses at $71 million (Q2 2026), $69.1 million (Q1 2026) and $63.59 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn | 87.00 Mn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn | - |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn | 74.80 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn | 52.80 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn | 62.30 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - | 66.50 Mn |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn | 14.40 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn | - |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - | 250.00 Mn |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - | 43.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 74.80 Mn |
| Jun 30, 2026 | 71.00 Mn |
| Mar 31, 2026 | 69.10 Mn |
| Dec 31, 2025 | 63.59 Mn |
| Sep 30, 2025 | 53.60 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 |
Msci Non Operating 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=non-operating-interest-expenses&ticker=MSCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();