Moodys (MCO) EBT (2009 - 2026)
Moodys' EBT came in at $1.17 billion for Q2 2026, up 51.7% from $772 million a year earlier and up 34.6% from the prior quarter.
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Analysis
Moodys (MCO) EBT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Moodys reported EBT of $3.6 billion, up 28.2% year-over-year; for FY2025, it was $3.13 billion, up 16.0% from FY2024.
- EBT has increased in each of the last three years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Going back by year, EBT was $2.7 billion in FY2024 (+39.5%), $1.94 billion in FY2023 (+9.9%), $1.76 billion in FY2022 (-36.1%) and $2.76 billion in FY2021 (+23.6%).
- The Q2 2026 figure represents the highest quarterly EBT in data going back to Q1 2009.
- Year-over-year, EBT has increased for 13 consecutive quarters, with growth averaging 23.7% over the last eight quarters.
- The fastest year-over-year change in EBT over five years came in Q2 2026 (growth of 51.7%), and the weakest in Q2 2022 (a decline of 41.6%).
- Business Quant data shows MCO's EBT at $870 million (Q1 2026), $687 million (Q4 2025) and $867 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 1.73 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 1.17 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 417.30 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 303.40 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 256.90 Mn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 201.50 Mn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 154.12 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 147.00 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 5.49 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 1.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Bn |
| Mar 31, 2026 | 870.00 Mn |
| Dec 31, 2025 | 687.00 Mn |
| Sep 30, 2025 | 867.00 Mn |
| Jun 30, 2025 | 772.00 Mn |
| Mar 31, 2025 | 804.00 Mn |
| Dec 31, 2024 | 525.00 Mn |
| Sep 30, 2024 | 703.00 Mn |
| Jun 30, 2024 | 719.00 Mn |
| Mar 31, 2024 | 752.00 Mn |
| Dec 31, 2023 | 450.00 Mn |
| Sep 30, 2023 | 487.00 Mn |
| Jun 30, 2023 | 492.00 Mn |
| Mar 31, 2023 | 506.00 Mn |
| Dec 31, 2022 | 327.00 Mn |
| Sep 30, 2022 | 381.00 Mn |
| Jun 30, 2022 | 443.00 Mn |
| Mar 31, 2022 | 609.00 Mn |
| Dec 31, 2021 | 516.00 Mn |
| Sep 30, 2021 | 619.00 Mn |
API Access
Moodys EBT 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=ebt&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();