Moodys (MCO) EPS (Diluted) (2009 - 2026)
Moodys (MCO) reported EPS (Diluted) of $5.03 for Q2 2026, up 56.9% from $3.21 a year earlier and up 35.0% from the prior quarter.
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Analysis
Moodys (MCO) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Moodys' EPS (Diluted) came in at $16.02, up 35.4% year-over-year; for FY2025, it came in at $13.67, up 21.3% from FY2024.
- EPS (Diluted) has increased for three consecutive years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, EPS (Diluted) came in at $11.26 in FY2024 (+29.0%), $8.73 in FY2023 (+17.4%), $7.44 in FY2022 (-36.9%) and $11.78 in FY2021 (+25.4%).
- The Q2 2026 figure ranks as the highest quarterly EPS (Diluted) in data going back to Q1 2009.
- Year over year, EPS (Diluted) has now increased in each of the last 14 quarters, with growth averaging 27.0% over the last eight quarters.
- The high point for year-over-year EPS (Diluted) in five years was Q2 2026 (growth of 56.9%); the low point was Q2 2022 (a decline of 42.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.73 (Q1 2026), $3.39 (Q4 2025) and $3.60 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 4.12 |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 5.03 |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 4.69 |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 1.75 |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 1.54 |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 0.74 |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 3.50 |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 2.83 |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 4.97 |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 2.88 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.03 |
| Mar 31, 2026 | 3.73 |
| Dec 31, 2025 | 3.39 |
| Sep 30, 2025 | 3.60 |
| Jun 30, 2025 | 3.21 |
| Mar 31, 2025 | 3.46 |
| Dec 31, 2024 | 2.16 |
| Sep 30, 2024 | 2.93 |
| Jun 30, 2024 | 3.02 |
| Mar 31, 2024 | 3.15 |
| Dec 31, 2023 | 1.85 |
| Sep 30, 2023 | 2.11 |
| Jun 30, 2023 | 2.05 |
| Mar 31, 2023 | 2.72 |
| Dec 31, 2022 | 1.33 |
| Sep 30, 2022 | 1.65 |
| Jun 30, 2022 | 1.77 |
| Mar 31, 2022 | 2.68 |
| Dec 31, 2021 | 2.27 |
| Sep 30, 2021 | 2.53 |
API Access
Moodys 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=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();