Moodys (MCO) Income After Tax (2009 - 2026)
Moodys' Profit After Tax was $736 million in Q3 2026, up 13.8% from $647 million a year earlier but down 16.3% from the prior quarter.
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Analysis
Moodys (MCO) Income After Tax (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Moodys' Profit After Tax was $2.89 billion through Sep 30, 2026, up 28.5% year-over-year; for FY2025, it was $2.46 billion, up 19.6% from FY2024.
- Profit After Tax has now increased for three consecutive years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier years, Profit After Tax was $2.06 billion in FY2024 (+28.0%), $1.61 billion in FY2023 (+17.0%), $1.37 billion in FY2022 (-37.9%) and $2.21 billion in FY2021 (+24.6%).
- Quarterly Profit After Tax has moved between $246 million (Q4 2022) and $879 million (Q2 2026) over five years.
- Compared with a year earlier, Profit After Tax has increased for 15 straight quarters, with growth averaging 22.0% over the last eight quarters.
- The best year-over-year quarter for Profit After Tax over five years was Q4 2025 (growth of 54.7%); the worst was Q2 2022 (a decline of 43.3%).
- Per Business Quant data, MCO's Profit After Tax in the three quarters before Q3 2026 was $879 million (Q2 2026), $661 million (Q1 2026) and $611 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn | 1.41 Bn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn | 736.00 Mn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn | 351.00 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn | 228.60 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn | 213.40 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - | 160.50 Mn |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn | 121.13 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn | 114.00 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - | 4.63 Bn |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 736.00 Mn |
| Jun 30, 2026 | 879.00 Mn |
| Mar 31, 2026 | 661.00 Mn |
| Dec 31, 2025 | 611.00 Mn |
| Sep 30, 2025 | 647.00 Mn |
| Jun 30, 2025 | 579.00 Mn |
| Mar 31, 2025 | 625.00 Mn |
| Dec 31, 2024 | 395.00 Mn |
| Sep 30, 2024 | 534.00 Mn |
| Jun 30, 2024 | 553.00 Mn |
| Mar 31, 2024 | 577.00 Mn |
| Dec 31, 2023 | 340.00 Mn |
| Sep 30, 2023 | 390.00 Mn |
| Jun 30, 2023 | 377.00 Mn |
| Mar 31, 2023 | 501.00 Mn |
| Dec 31, 2022 | 246.00 Mn |
| Sep 30, 2022 | 303.00 Mn |
| Jun 30, 2022 | 327.00 Mn |
| Mar 31, 2022 | 498.00 Mn |
| Dec 31, 2021 | 427.00 Mn |
API Access
Moodys Income After Tax 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=profit-after-tax&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();