Moodys (MCO) Price to Earnings (2009 - 2026)
Moodys' (MCO) Price to Earnings was 28.07 for Q2 2026, down 33.5% from 42.21 a year earlier and down 8.1% from the prior quarter.
Analysis
Moodys (MCO) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Moodys was 36.83, down 11.0% from FY2024.
- By year, Price to Earnings came in at 41.40 in FY2024 (-6.7%), 44.35 in FY2023 (+19.4%), 37.15 in FY2022 (+13.7%) and 32.67 in FY2021 (+7.0%).
- The Q2 2026 figure ranks as the lowest quarterly Price to Earnings since Q1 2021.
- Year over year, Price to Earnings has now declined in each of the last four quarters, with an average decline of 9.8% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was Q2 2023 (growth of 54.6%); the low point was Q2 2026 (a decline of 33.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 30.55 (Q1 2026), 36.83 (Q4 2025) and 37.88 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.07 |
| Mar 31, 2026 | 30.55 |
| Dec 31, 2025 | 36.83 |
| Sep 30, 2025 | 37.88 |
| Jun 30, 2025 | 42.21 |
| Mar 31, 2025 | 39.78 |
| Dec 31, 2024 | 41.40 |
| Sep 30, 2024 | 42.93 |
| Jun 30, 2024 | 41.25 |
| Mar 31, 2024 | 42.64 |
| Dec 31, 2023 | 44.35 |
| Sep 30, 2023 | 38.24 |
| Jun 30, 2023 | 44.71 |
| Mar 31, 2023 | 40.78 |
| Dec 31, 2022 | 37.15 |
| Sep 30, 2022 | 28.64 |
| Jun 30, 2022 | 28.91 |
| Mar 31, 2022 | 31.50 |
| Dec 31, 2021 | 32.67 |
| Sep 30, 2021 | 31.42 |
API Access
Moodys Price to 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=price-to-earnings&ticker=MCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-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=price-to-earnings&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();