Moodys (MCO) Depreciation & Amortization (CF) (2009 - 2026)
Moodys (MCO) recorded Depreciation & Amortization (CF) of $126 million in Q2 2026, up 5.0% from $120 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Moodys (MCO) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a TTM basis, Moodys' Depreciation & Amortization (CF) came in at $495 million as of Jun 30, 2026, up 9.0% year-over-year; for FY2025, it was $480 million, up 11.4% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for 12 straight years, with a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $431 million in FY2024 (+15.5%), $373 million in FY2023 (+12.7%), $331 million in FY2022 (+28.8%) and $257 million in FY2021 (+16.8%).
- The Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) in data going back to Q1 2009.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for 25 consecutive quarters, with growth averaging 11.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Depreciation & Amortization (CF) ranged from 5.0% (Q2 2026) to 36.1% (Q3 2022).
- Per Business Quant, the preceding three quarters came in at $122 million (Q1 2026), $124 million (Q4 2025) and $123 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 32.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 126.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 6.20 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 66.30 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 191.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 160.50 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 45.87 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 53.50 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 309.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 28.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.00 Mn |
| Mar 31, 2026 | 122.00 Mn |
| Dec 31, 2025 | 124.00 Mn |
| Sep 30, 2025 | 123.00 Mn |
| Jun 30, 2025 | 120.00 Mn |
| Mar 31, 2025 | 113.00 Mn |
| Dec 31, 2024 | 113.00 Mn |
| Sep 30, 2024 | 108.00 Mn |
| Jun 30, 2024 | 110.00 Mn |
| Mar 31, 2024 | 100.00 Mn |
| Dec 31, 2023 | 97.00 Mn |
| Sep 30, 2023 | 95.00 Mn |
| Jun 30, 2023 | 93.00 Mn |
| Mar 31, 2023 | 88.00 Mn |
| Dec 31, 2022 | 89.00 Mn |
| Sep 30, 2022 | 83.00 Mn |
| Jun 30, 2022 | 81.00 Mn |
| Mar 31, 2022 | 78.00 Mn |
| Dec 31, 2021 | 77.00 Mn |
| Sep 30, 2021 | 61.00 Mn |
API Access
Moodys Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();