Moodys (MCO) FCF Payout Ratio (2019 - 2026)
Moodys' FCF Payout Ratio was 0.26 in Q2 2026, down 28.4% from 0.37 a year earlier but up 19.4% from the prior quarter.
Moodys (MCO) FCF Payout Ratio (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Moodys' FCF Payout Ratio was 0.24 through Jun 30, 2026, down 17.4% year-over-year; for FY2025, it was 0.27, up 10.7% from FY2024.
- In earlier years, FCF Payout Ratio was 0.25 in FY2024 (-18.0%), 0.30 in FY2023 (-30.6%), 0.43 in FY2022 (+74.3%) and 0.25 in FY2021 (+20.7%).
- Quarterly FCF Payout Ratio has moved between 0.21 (Q4 2025) and 0.59 (Q2 2022) over five years.
- Compared with a year earlier, FCF Payout Ratio has declined for three straight quarters, with an average decline of 6.5% over the last eight quarters.
- The best year-over-year quarter for FCF Payout Ratio over five years was Q4 2021 (growth of 197.4%); the worst was Q2 2023 (a decline of 56.6%).
- Per Business Quant data, MCO's FCF Payout Ratio in the three quarters before Q2 2026 was 0.22 (Q1 2026), 0.21 (Q4 2025) and 0.26 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 0.20 |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 0.26 |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 0.42 |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | - |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 0.32 |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 0.08 |
| 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.26 |
| Mar 31, 2026 | 0.22 |
| Dec 31, 2025 | 0.21 |
| Sep 30, 2025 | 0.26 |
| Jun 30, 2025 | 0.37 |
| Mar 31, 2025 | 0.29 |
| Dec 31, 2024 | 0.26 |
| Sep 30, 2024 | 0.25 |
| Jun 30, 2024 | 0.26 |
| Mar 31, 2024 | 0.22 |
| Dec 31, 2023 | 0.35 |
| Sep 30, 2023 | 0.36 |
| Jun 30, 2023 | 0.26 |
| Mar 31, 2023 | 0.26 |
| Dec 31, 2022 | 0.43 |
| Sep 30, 2022 | 0.48 |
| Jun 30, 2022 | 0.59 |
| Mar 31, 2022 | 0.32 |
| Dec 31, 2021 | 0.49 |
| Sep 30, 2021 | 0.29 |
Moodys FCF Payout Ratio 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=fcf-payout-ratio&ticker=MCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "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=fcf-payout-ratio&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();