Moodys (MCO) Retained Earnings (2009 - 2026)
Moodys (MCO) posted Retained Earnings of $19.03 billion for Q2 2026, up 12.4% from $16.93 billion a year earlier and up 3.8% from the prior quarter.
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Analysis
Moodys (MCO) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Moodys' Retained Earnings came in at $17.85 billion, up 11.1% from FY2024.
- Annual Retained Earnings has increased for nine consecutive years, with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In prior years, Moodys' Retained Earnings was $16.07 billion in FY2024 (+9.6%), $14.66 billion in FY2023 (+7.6%), $13.62 billion in FY2022 (+6.7%) and $12.76 billion in FY2021 (+15.9%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q2 2009.
- On a year-over-year basis, Retained Earnings has increased in each of the last 38 quarters, with growth averaging 10.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 6.4% in Q1 2023 to 15.9% in Q4 2021.
- According to Business Quant data, Retained Earnings for the three prior quarters was $18.33 billion (Q1 2026), $17.85 billion (Q4 2025) and $17.41 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 25.62 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 19.03 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 5.88 Bn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 8.14 Bn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 6.67 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 3.21 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 2.61 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 2.38 Bn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 91.77 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 5.46 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.03 Bn |
| Mar 31, 2026 | 18.33 Bn |
| Dec 31, 2025 | 17.85 Bn |
| Sep 30, 2025 | 17.41 Bn |
| Jun 30, 2025 | 16.93 Bn |
| Mar 31, 2025 | 16.53 Bn |
| Dec 31, 2024 | 16.07 Bn |
| Sep 30, 2024 | 15.86 Bn |
| Jun 30, 2024 | 15.48 Bn |
| Mar 31, 2024 | 15.08 Bn |
| Dec 31, 2023 | 14.66 Bn |
| Sep 30, 2023 | 14.46 Bn |
| Jun 30, 2023 | 14.21 Bn |
| Mar 31, 2023 | 13.98 Bn |
| Dec 31, 2022 | 13.62 Bn |
| Sep 30, 2022 | 13.50 Bn |
| Jun 30, 2022 | 13.33 Bn |
| Mar 31, 2022 | 13.13 Bn |
| Dec 31, 2021 | 12.76 Bn |
| Sep 30, 2021 | 12.45 Bn |
API Access
Moodys Retained Earnings 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=retained-earnings&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();