Moodys (MCO) Profit After Tax (2009 - 2026)
Moodys' Profit After Tax was $879 million in Q2 2026, up 51.8% from $579 million a year earlier and up 33.0% from the prior quarter.
Moodys (MCO) Profit After Tax (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Moodys' Profit After Tax was $2.8 billion through Jun 30, 2026, up 31.2% 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%).
- The Q2 2026 figure marks the highest quarterly Profit After Tax in data going back to Q1 2009.
- Compared with a year earlier, Profit After Tax has increased for 14 straight quarters, with growth averaging 24.9% 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 Q2 2026 was $661 million (Q1 2026), $611 million (Q4 2025) and $647 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 114.46 Bn | 110.07 Bn | 2.98 Bn | 1.32 Bn |
| 2 | Moodys | 77.50 Bn | 69.93 Bn | 1.67 Bn | 879.00 Mn |
| 3 | Msci | 39.67 Bn | 38.01 Bn | 717.10 Mn | 342.00 Mn |
| 4 | Verisk Analytics | 21.91 Bn | 16.55 Bn | 572.90 Mn | 228.60 Mn |
| 5 | Equifax | 16.44 Bn | 15.84 Bn | 926.40 Mn | 185.10 Mn |
| 6 | TransUnion | 11.91 Bn | 8.89 Bn | - | 146.70 Mn |
| 7 | Factset Research Systems | 9.93 Bn | 8.69 Bn | 310.73 Mn | 126.72 Mn |
| 8 | Morningstar | 7.17 Bn | 5.07 Bn | 423.90 Mn | 108.70 Mn |
| 9 | Mastercard | 479.32 Bn | 439.24 Bn | - | 4.39 Bn |
| 10 | Cme | 95.24 Bn | 95.24 Bn | - | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 474.00 Mn |
Moodys Profit 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_KEY
import 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();