Morningstar (MORN) EPS (Diluted) (2009 - 2026)
Morningstar's EPS (Diluted) came in at $2.83 for Q2 2026, up 35.1% from $2.09 a year earlier and up 3.8% from the prior quarter.
Morningstar (MORN) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Morningstar reported EPS (Diluted) of $11.07, up 16.4% year-over-year; for FY2025, it was $8.87, up 3.3% from FY2024.
- EPS (Diluted) has increased in each of the last three years, with a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- Going back by year, EPS (Diluted) was $8.58 in FY2024 (+160.9%), $3.29 in FY2023 (+100.1%), $1.64 in FY2022 (-63.1%) and $4.45 in FY2021 (-13.9%).
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) in data going back to Q2 2009.
- Year-over-year, EPS (Diluted) has increased for three consecutive quarters, with growth averaging 47.3% over the last eight quarters.
- The fastest year-over-year change in EPS (Diluted) over five years came in Q3 2024 (growth of 204.0%), and the weakest in Q4 2022 (a decline of 94.1%).
- Business Quant data shows MORN's EPS (Diluted) at $2.73 (Q1 2026), $2.73 (Q4 2025) and $2.17 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn | 4.12 |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn | 5.03 |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn | 4.69 |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn | 1.75 |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn | 1.54 |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - | 0.74 |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn | 3.50 |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn | 2.83 |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - | 4.97 |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - | 2.88 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.83 |
| Mar 31, 2026 | 2.73 |
| Dec 31, 2025 | 2.73 |
| Sep 30, 2025 | 2.17 |
| Jun 30, 2025 | 2.09 |
| Mar 31, 2025 | 1.82 |
| Dec 31, 2024 | 2.71 |
| Sep 30, 2024 | 2.77 |
| Jun 30, 2024 | 1.60 |
| Mar 31, 2024 | 1.49 |
| Dec 31, 2023 | 1.71 |
| Sep 30, 2023 | 0.91 |
| Jun 30, 2023 | 0.84 |
| Mar 31, 2023 | -0.18 |
| Dec 31, 2022 | 0.08 |
| Sep 30, 2022 | -0.21 |
| Jun 30, 2022 | 0.70 |
| Mar 31, 2022 | 1.06 |
| Dec 31, 2021 | 1.30 |
| Sep 30, 2021 | 1.13 |
Morningstar EPS (Diluted) 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=eps-diluted&ticker=MORN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();