Moodys (MCO) Other Operating Expenses (2009 - 2026)
Moodys' Other Operating Expenses came in at $644 million for Q2 2026, up 5.6% from $610 million a year earlier but down 1.4% from the prior quarter.
Powered by 
Analysis
Moodys (MCO) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Moodys reported Other Operating Expenses of $2.54 billion, up 2.5% year-over-year; for FY2025, it was $2.46 billion, up 1.5% from FY2024.
- Other Operating Expenses has increased in each of the last nine years, with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $2.42 billion in FY2024 (+17.4%), $2.06 billion in FY2023 (+6.0%), $1.94 billion in FY2022 (+2.6%) and $1.89 billion in FY2021 (+11.2%).
- The five-year range for quarterly Other Operating Expenses is $455 million (Q3 2021) to $653 million (Q1 2026).
- Year-over-year, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 8.2% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2024 (growth of 25.2%), and the weakest in Q4 2022 (a decline of 11.2%).
- Business Quant data shows MCO's Other Operating Expenses at $653 million (Q1 2026), $624 million (Q4 2025) and $616 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 455.00 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();