Moodys (MCO) Return on Equity [ROE] (2012 - 2026)
Moodys' Return on Equity [ROE] came in at 87.78% for Q3 2026, up 33.13 percentage points from 54.65% a year earlier but down 0.92 percentage points from the prior quarter.
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Analysis
Moodys (MCO) Return on Equity [ROE] (2012 - 2026) Analysis & Trends
For FY2025, Moodys' Return on Equity [ROE] was 62.08%, up 4.91 percentage points from FY2024.
- Return on Equity [ROE] has increased in each of the last three years, though with a five-year change of -74.93 percentage points (FY2020 to FY2025).
- Going back by year, Return on Equity [ROE] was 57.17% in FY2024 (+5.01 pp), 52.17% in FY2023 (+3.14 pp), 49.03% in FY2022 (-45.61 pp) and 94.64% in FY2021 (-42.37 pp).
- The five-year range for quarterly Return on Equity [ROE] is 44.80% (Q2 2023) to 88.70% (Q2 2026).
- Year-over-year, Return on Equity [ROE] has increased for ten consecutive quarters, with an average year-over-year change of +13.92 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in Q2 2026 (a gain of 35.15 percentage points), and the weakest in Q1 2022 (a drop of 29.72 percentage points).
- Business Quant data shows MCO's Return on Equity [ROE] at 88.70% (Q2 2026), 67.99% (Q1 2026) and 59.20% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | - |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 20.99% |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 87.78% |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | - |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 16.83% |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 16.25% |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 26.45% |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 43.48% |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 274.42% |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 16.64% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 87.78% |
| Jun 30, 2026 | 88.70% |
| Mar 31, 2026 | 67.99% |
| Dec 31, 2025 | 59.20% |
| Sep 30, 2025 | 54.65% |
| Jun 30, 2025 | 53.55% |
| Mar 31, 2025 | 55.56% |
| Dec 31, 2024 | 52.83% |
| Sep 30, 2024 | 50.06% |
| Jun 30, 2024 | 48.48% |
| Mar 31, 2024 | 46.71% |
| Dec 31, 2023 | 47.10% |
| Sep 30, 2023 | 45.44% |
| Jun 30, 2023 | 44.80% |
| Mar 31, 2023 | 47.92% |
| Dec 31, 2022 | 53.68% |
| Sep 30, 2022 | 63.35% |
| Jun 30, 2022 | 68.21% |
| Mar 31, 2022 | 71.88% |
| Dec 31, 2021 | 80.00% |
API Access
Moodys Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();