Moodys (MCO) Tax Provisions (2009 - 2026)
Moodys (MCO) posted Tax Provisions of $292 million for Q2 2026, up 51.3% from $193 million a year earlier and up 39.7% from the prior quarter.
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Analysis
Moodys (MCO) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Moodys was $797 million, up 18.8% year-over-year; for FY2025, it came in at $668 million, up 4.4% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, Moodys' Tax Provisions was $640 million in FY2024 (+95.7%), $327 million in FY2023 (-15.3%), $386 million in FY2022 (-28.7%) and $541 million in FY2021 (+19.7%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q4 2017.
- On a year-over-year basis, Tax Provisions increased in seven of the last eight quarters, with growth averaging 21.0%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2024, with growth of 74.2%; the weakest was Q1 2023, with a decline of 95.5%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $209 million (Q1 2026), $76 million (Q4 2025) and $220 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 406.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 292.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 75.30 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 74.80 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 71.80 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 54.80 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 27.40 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 38.30 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 1.10 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 285.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.00 Mn |
| Mar 31, 2026 | 209.00 Mn |
| Dec 31, 2025 | 76.00 Mn |
| Sep 30, 2025 | 220.00 Mn |
| Jun 30, 2025 | 193.00 Mn |
| Mar 31, 2025 | 179.00 Mn |
| Dec 31, 2024 | 130.00 Mn |
| Sep 30, 2024 | 169.00 Mn |
| Jun 30, 2024 | 166.00 Mn |
| Mar 31, 2024 | 175.00 Mn |
| Dec 31, 2023 | 110.00 Mn |
| Sep 30, 2023 | 97.00 Mn |
| Jun 30, 2023 | 115.00 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | 81.00 Mn |
| Sep 30, 2022 | 78.00 Mn |
| Jun 30, 2022 | 116.00 Mn |
| Mar 31, 2022 | 111.00 Mn |
| Dec 31, 2021 | 89.00 Mn |
| Sep 30, 2021 | 145.00 Mn |
API Access
Moodys Tax Provisions 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=tax-provisions&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();