Morningstar (MORN) Retained Earnings (2009 - 2026)
Morningstar (MORN) reported Retained Earnings of $2.38 billion for Q2 2026, up 16.9% from $2.04 billion a year earlier and up 3.9% from the prior quarter.
Powered by 
Analysis
Morningstar (MORN) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Morningstar posted Retained Earnings of $2.21 billion, up 15.6% from FY2024.
- Retained Earnings has increased for 16 consecutive years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- By year, Retained Earnings came in at $1.91 billion in FY2024 (+18.5%), $1.61 billion in FY2023 (+4.9%), $1.54 billion in FY2022 (+0.6%) and $1.53 billion in FY2021 (+9.9%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2009.
- Year over year, Retained Earnings has now increased in each of the last 11 quarters, with growth averaging 17.3% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was Q2 2025 (growth of 19.2%); the low point was Q1 2023 (a decline of 2.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.29 billion (Q1 2026), $2.21 billion (Q4 2025) and $2.11 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 | 2.38 Bn |
| Mar 31, 2026 | 2.29 Bn |
| Dec 31, 2025 | 2.21 Bn |
| Sep 30, 2025 | 2.11 Bn |
| Jun 30, 2025 | 2.04 Bn |
| Mar 31, 2025 | 1.97 Bn |
| Dec 31, 2024 | 1.91 Bn |
| Sep 30, 2024 | 1.81 Bn |
| Jun 30, 2024 | 1.71 Bn |
| Mar 31, 2024 | 1.66 Bn |
| Dec 31, 2023 | 1.61 Bn |
| Sep 30, 2023 | 1.55 Bn |
| Jun 30, 2023 | 1.53 Bn |
| Mar 31, 2023 | 1.51 Bn |
| Dec 31, 2022 | 1.54 Bn |
| Sep 30, 2022 | 1.56 Bn |
| Jun 30, 2022 | 1.57 Bn |
| Mar 31, 2022 | 1.56 Bn |
| Dec 31, 2021 | 1.53 Bn |
| Sep 30, 2021 | 1.50 Bn |
API Access
Morningstar 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=MORN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "MORN", "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=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();