Moodys (MCO) Free Cash Flow (2009 - 2026)
Moodys (MCO) posted Free Cash Flow of $668 million for Q3 2026, up 1.5% from $658 million a year earlier but down 2.9% from the prior quarter.
Moodys (MCO) Free Cash Flow (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Free Cash Flow at Moodys was $2.98 billion, up 24.1% year-over-year; for FY2025, it was $2.58 billion, up 2.1% from FY2024.
- Annual Free Cash Flow has increased for three consecutive years, with a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In prior years, Moodys' Free Cash Flow was $2.52 billion in FY2024 (+34.1%), $1.88 billion in FY2023 (+57.9%), $1.19 billion in FY2022 (-36.2%) and $1.87 billion in FY2021 (-8.7%).
- Quarterly Free Cash Flow has run from a low of $217 million in Q2 2022 to a high of $844 million in Q1 2026 over five years.
- On a year-over-year basis, Free Cash Flow has increased in each of the last five quarters, with growth averaging 16.5% over the last eight quarters.
- The strongest year-over-year quarter for Free Cash Flow in the past five years was Q2 2023, with growth of 153.5%; the weakest was Q4 2021, with a decline of 62.9%.
- According to Business Quant data, Free Cash Flow for the three prior quarters was $688 million (Q2 2026), $844 million (Q1 2026) and $777 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 422.70 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 1.16 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 668.00 Mn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 200.00 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 436.90 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 362.60 Mn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 177.31 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 155.40 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 4.87 Bn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 668.00 Mn |
| Jun 30, 2026 | 688.00 Mn |
| Mar 31, 2026 | 844.00 Mn |
| Dec 31, 2025 | 777.00 Mn |
| Sep 30, 2025 | 658.00 Mn |
| Jun 30, 2025 | 468.00 Mn |
| Mar 31, 2025 | 672.00 Mn |
| Dec 31, 2024 | 600.00 Mn |
| Sep 30, 2024 | 631.00 Mn |
| Jun 30, 2024 | 593.00 Mn |
| Mar 31, 2024 | 697.00 Mn |
| Dec 31, 2023 | 404.00 Mn |
| Sep 30, 2023 | 391.00 Mn |
| Jun 30, 2023 | 550.00 Mn |
| Mar 31, 2023 | 535.00 Mn |
| Dec 31, 2022 | 298.00 Mn |
| Sep 30, 2022 | 265.00 Mn |
| Jun 30, 2022 | 217.00 Mn |
| Mar 31, 2022 | 411.00 Mn |
| Dec 31, 2021 | 237.00 Mn |
Moodys Free Cash Flow 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=free-cash-flow&ticker=MCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();