Moodys (MCO) FCF Margin (2009 - 2026)
Moodys (MCO) recorded FCF Margin of 31.49% in Q2 2026, up 6.83 percentage points from 24.66% a year earlier but down 9.11 percentage points from the prior quarter.
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Analysis
Moodys (MCO) FCF Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Moodys' FCF Margin came in at 36.36% as of Jun 30, 2026, up 3.91 percentage points year-over-year; for FY2025, it came in at 33.36%, down 2.20 percentage points from FY2024.
- Annual FCF Margin has a five-year change of -4.67 percentage points (FY2020 to FY2025).
- Across earlier years, FCF Margin came in at 35.57% in FY2024 (+3.79 pp), 31.78% in FY2023 (+10.00 pp), 21.78% in FY2022 (-8.23 pp) and 30.01% in FY2021 (-8.03 pp).
- Quarterly FCF Margin has ranged from 15.40% in Q4 2021 to 41.13% in Q4 2025 over the past five years.
- On a year-over-year basis, FCF Margin has increased for three consecutive quarters, with an average year-over-year change of +2.56 percentage points over the last eight quarters.
- Peak year-over-year performance for FCF Margin in the last five years was a gain of 21.10 percentage points in Q2 2023, against a drop of 34.06 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 40.60% (Q1 2026), 41.13% (Q4 2025) and 32.79% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 130.92 Bn | 121.51 Bn | 2.98 Bn | 33.79% |
| 2 | Moodys | 83.50 Bn | 75.78 Bn | 1.67 Bn | 31.49% |
| 3 | Msci | 43.53 Bn | 42.01 Bn | 739.80 Mn | 47.39% |
| 4 | Verisk Analytics | 25.14 Bn | 19.78 Bn | 572.90 Mn | 36.95% |
| 5 | Equifax | 20.60 Bn | 19.88 Bn | 940.10 Mn | 25.81% |
| 6 | TransUnion | 15.19 Bn | 12.02 Bn | - | 23.34% |
| 7 | Factset Research Systems | 11.67 Bn | 10.52 Bn | 308.40 Mn | 27.94% |
| 8 | Morningstar | 8.10 Bn | 6.00 Bn | 423.90 Mn | 18.47% |
| 9 | Mastercard | 548.82 Bn | 508.75 Bn | - | 37.53% |
| 10 | Cme | 106.61 Bn | 94.70 Bn | - | 54.13% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.49% |
| Mar 31, 2026 | 40.60% |
| Dec 31, 2025 | 41.13% |
| Sep 30, 2025 | 32.79% |
| Jun 30, 2025 | 24.66% |
| Mar 31, 2025 | 34.93% |
| Dec 31, 2024 | 35.89% |
| Sep 30, 2024 | 34.80% |
| Jun 30, 2024 | 32.64% |
| Mar 31, 2024 | 39.03% |
| Dec 31, 2023 | 27.30% |
| Sep 30, 2023 | 26.56% |
| Jun 30, 2023 | 36.81% |
| Mar 31, 2023 | 36.39% |
| Dec 31, 2022 | 23.10% |
| Sep 30, 2022 | 20.78% |
| Jun 30, 2022 | 15.71% |
| Mar 31, 2022 | 27.00% |
| Dec 31, 2021 | 15.40% |
| Sep 30, 2021 | 26.41% |
API Access
Moodys FCF Margin 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-margin&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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-margin&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();