Moodys (MCO) Other Operating Expenses (2009 - 2026)
Moodys' Other Operating Expenses was $2 million in Q1 2025, down 84.6% from the prior quarter.
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Analysis
Moodys (MCO) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Moodys' Other Operating Expenses was $45 million through Mar 31, 2025; for FY2024, it was $43 million.
- Other Operating Expenses shows a five-year compound annual growth rate of 20.4% (FY2019 to FY2024).
- In earlier years, Other Operating Expenses was $9 million in FY2020 (-47.1%).
- Per Business Quant data, MCO's Other Operating Expenses in the three quarters before Q1 2025 was $13 million (Q4 2024), $15 million (Q3 2024) and $15 million (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 648.00 Mn |
| Jun 30, 2026 | 644.00 Mn |
| Mar 31, 2026 | 653.00 Mn |
| Dec 31, 2025 | 624.00 Mn |
| Sep 30, 2025 | 616.00 Mn |
| Jun 30, 2025 | 610.00 Mn |
| Mar 31, 2025 | 606.00 Mn |
| Dec 31, 2024 | 623.00 Mn |
| Sep 30, 2024 | 635.00 Mn |
| Jun 30, 2024 | 594.00 Mn |
| Mar 31, 2024 | 567.00 Mn |
| Dec 31, 2023 | 518.00 Mn |
| Sep 30, 2023 | 507.00 Mn |
| Jun 30, 2023 | 519.00 Mn |
| Mar 31, 2023 | 516.00 Mn |
| Dec 31, 2022 | 499.00 Mn |
| Sep 30, 2022 | 476.00 Mn |
| Jun 30, 2022 | 474.00 Mn |
| Mar 31, 2022 | 495.00 Mn |
| Dec 31, 2021 | 562.00 Mn |
API Access
Moodys Other 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=other-operating-expenses&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "MCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();