Moodys (MCO) EPS (Basic) (2009 - 2026)
Moodys (MCO) posted EPS (Basic) of $4.25 for Q3 2026, up 17.6% from $3.61 a year earlier but down 15.8% from the prior quarter.
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Analysis
Moodys (MCO) EPS (Basic) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EPS (Basic) at Moodys was $16.68, up 33.0% year-over-year; for FY2025, it was $13.73, up 21.3% from FY2024.
- Annual EPS (Basic) has increased for three consecutive years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In prior years, Moodys' EPS (Basic) was $11.32 in FY2024 (+29.1%), $8.77 in FY2023 (+17.4%), $7.47 in FY2022 (-37.1%) and $11.88 in FY2021 (+25.3%).
- Quarterly EPS (Basic) has run from a low of $1.34 in Q4 2022 to a high of $5.04 in Q2 2026 over five years.
- On a year-over-year basis, EPS (Basic) has increased in each of the last 15 quarters, with growth averaging 24.4% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Basic) in the past five years was Q2 2026, with growth of 56.8%; the weakest was Q2 2022, with a decline of 42.5%.
- According to Business Quant data, EPS (Basic) for the three prior quarters was $5.04 (Q2 2026), $3.74 (Q1 2026) and $3.41 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 0.97 |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 4.26 |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 4.25 |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 1.70 |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 1.80 |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 0.82 |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 3.32 |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 3.07 |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 5.29 |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 2.90 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.25 |
| Jun 30, 2026 | 5.04 |
| Mar 31, 2026 | 3.74 |
| Dec 31, 2025 | 3.41 |
| Sep 30, 2025 | 3.61 |
| Jun 30, 2025 | 3.22 |
| Mar 31, 2025 | 3.47 |
| Dec 31, 2024 | 2.17 |
| Sep 30, 2024 | 2.94 |
| Jun 30, 2024 | 3.03 |
| Mar 31, 2024 | 3.16 |
| Dec 31, 2023 | 1.86 |
| Sep 30, 2023 | 2.12 |
| Jun 30, 2023 | 2.05 |
| Mar 31, 2023 | 2.73 |
| Dec 31, 2022 | 1.34 |
| Sep 30, 2022 | 1.65 |
| Jun 30, 2022 | 1.78 |
| Mar 31, 2022 | 2.69 |
| Dec 31, 2021 | 2.29 |
API Access
Moodys EPS (Basic) 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-basic&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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-basic&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();