Moodys (MCO) Cash from Operations (2009 - 2026)
Moodys' Cash from Operations was $779 million in Q2 2026, up 43.5% from $543 million a year earlier but down 17.0% from the prior quarter.
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Analysis
Moodys (MCO) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Moodys' Cash from Operations was $3.32 billion through Jun 30, 2026, up 24.0% year-over-year; for FY2025, it was $2.9 billion, up 2.2% from FY2024.
- Cash from Operations has now increased for three consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $2.84 billion in FY2024 (+31.9%), $2.15 billion in FY2023 (+45.9%), $1.47 billion in FY2022 (-26.5%) and $2.01 billion in FY2021 (-6.6%).
- Quarterly Cash from Operations has moved between $291 million (Q2 2022) and $939 million (Q1 2026) over five years.
- Compared with a year earlier, Cash from Operations has increased for four straight quarters, with growth averaging 21.3% over the last eight quarters.
- The best year-over-year quarter for Cash from Operations over five years was Q2 2023 (growth of 107.6%); the worst was Q4 2021 (a decline of 54.6%).
- Per Business Quant data, MCO's Cash from Operations in the three quarters before Q2 2026 was $939 million (Q1 2026), $858 million (Q4 2025) and $743 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 130.92 Bn | 121.51 Bn | 2.98 Bn | 1.44 Bn |
| 2 | Moodys | 83.50 Bn | 75.78 Bn | 1.67 Bn | 779.00 Mn |
| 3 | Msci | 43.53 Bn | 42.01 Bn | 739.80 Mn | 436.10 Mn |
| 4 | Verisk Analytics | 25.14 Bn | 19.78 Bn | 572.90 Mn | 366.00 Mn |
| 5 | Equifax | 20.60 Bn | 19.88 Bn | 940.10 Mn | 560.40 Mn |
| 6 | TransUnion | 15.19 Bn | 12.02 Bn | - | 374.90 Mn |
| 7 | Factset Research Systems | 11.67 Bn | 10.52 Bn | 308.40 Mn | 204.71 Mn |
| 8 | Morningstar | 8.10 Bn | 6.00 Bn | 423.90 Mn | 155.70 Mn |
| 9 | Mastercard | 548.82 Bn | 508.75 Bn | - | 3.77 Bn |
| 10 | Cme | 106.61 Bn | 94.70 Bn | - | 947.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 779.00 Mn |
| Mar 31, 2026 | 939.00 Mn |
| Dec 31, 2025 | 858.00 Mn |
| Sep 30, 2025 | 743.00 Mn |
| Jun 30, 2025 | 543.00 Mn |
| Mar 31, 2025 | 757.00 Mn |
| Dec 31, 2024 | 674.00 Mn |
| Sep 30, 2024 | 703.00 Mn |
| Jun 30, 2024 | 686.00 Mn |
| Mar 31, 2024 | 775.00 Mn |
| Dec 31, 2023 | 477.00 Mn |
| Sep 30, 2023 | 462.00 Mn |
| Jun 30, 2023 | 604.00 Mn |
| Mar 31, 2023 | 608.00 Mn |
| Dec 31, 2022 | 377.00 Mn |
| Sep 30, 2022 | 336.00 Mn |
| Jun 30, 2022 | 291.00 Mn |
| Mar 31, 2022 | 470.00 Mn |
| Dec 31, 2021 | 299.00 Mn |
| Sep 30, 2021 | 436.00 Mn |
API Access
Moodys Cash from Operations 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=cash-from-operations&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();