Moodys (MCO) Revenue (2009 - 2026)
Moodys (MCO) reported Revenue of $2.19 billion for Q2 2026, up 15.1% from $1.9 billion a year earlier and up 5.1% from the prior quarter.
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Analysis
Moodys (MCO) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Moodys' Revenue came in at $8.16 billion, up 11.7% year-over-year; for FY2025, it came in at $7.72 billion, up 8.9% from FY2024.
- Revenue has increased for three consecutive years, with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- By year, Revenue came in at $7.09 billion in FY2024 (+19.8%), $5.92 billion in FY2023 (+8.2%), $5.47 billion in FY2022 (-12.1%) and $6.22 billion in FY2021 (+15.8%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q1 2009.
- Year over year, Revenue has now increased in each of the last 13 quarters, with growth averaging 11.9% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q3 2024 (growth of 23.2%); the low point was Q3 2022 (a decline of 16.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.08 billion (Q1 2026), $1.89 billion (Q4 2025) and $2.01 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 129.64 Bn | 120.23 Bn | 2.98 Bn | 4.15 Bn |
| 2 | Moodys | 83.36 Bn | 75.65 Bn | 1.67 Bn | 2.19 Bn |
| 3 | Msci | 43.12 Bn | 41.46 Bn | 717.10 Mn | 867.00 Mn |
| 4 | Verisk Analytics | 24.94 Bn | 19.58 Bn | 572.90 Mn | 806.30 Mn |
| 5 | Equifax | 20.99 Bn | 20.27 Bn | 926.40 Mn | 1.70 Bn |
| 6 | TransUnion | 15.08 Bn | 11.90 Bn | - | 1.31 Bn |
| 7 | Factset Research Systems | 11.28 Bn | 10.04 Bn | 310.73 Mn | 622.92 Mn |
| 8 | Morningstar | 8.00 Bn | 5.90 Bn | 423.90 Mn | 663.20 Mn |
| 9 | Mastercard | 547.47 Bn | 507.39 Bn | - | 9.28 Bn |
| 10 | Cme | 106.56 Bn | 94.66 Bn | - | 1.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.19 Bn |
| Mar 31, 2026 | 2.08 Bn |
| Dec 31, 2025 | 1.89 Bn |
| Sep 30, 2025 | 2.01 Bn |
| Jun 30, 2025 | 1.90 Bn |
| Mar 31, 2025 | 1.92 Bn |
| Dec 31, 2024 | 1.67 Bn |
| Sep 30, 2024 | 1.81 Bn |
| Jun 30, 2024 | 1.82 Bn |
| Mar 31, 2024 | 1.79 Bn |
| Dec 31, 2023 | 1.48 Bn |
| Sep 30, 2023 | 1.47 Bn |
| Jun 30, 2023 | 1.49 Bn |
| Mar 31, 2023 | 1.47 Bn |
| Dec 31, 2022 | 1.29 Bn |
| Sep 30, 2022 | 1.28 Bn |
| Jun 30, 2022 | 1.38 Bn |
| Mar 31, 2022 | 1.52 Bn |
| Dec 31, 2021 | 1.54 Bn |
| Sep 30, 2021 | 1.53 Bn |
API Access
Moodys Revenue 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=revenue&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();