Morningstar (MORN) Depreciation & Amortization (CF) (2009 - 2026)
Morningstar's Depreciation & Amortization (CF) came in at $53.5 million for Q2 2026, up 10.3% from $48.5 million a year earlier and up 3.5% from the prior quarter.
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Analysis
Morningstar (MORN) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Morningstar reported Depreciation & Amortization (CF) of $199.3 million, up 4.9% year-over-year; for FY2025, it came in at $189.9 million, down 0.3% from FY2024.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $190.4 million in FY2024 (+3.0%), $184.9 million in FY2023 (+11.0%), $166.6 million in FY2022 (+10.6%) and $150.7 million in FY2021 (+8.0%).
- The Q2 2026 figure represents the highest quarterly Depreciation & Amortization (CF) in data going back to Q2 2009.
- Year-over-year, Depreciation & Amortization (CF) increased in five of the last eight quarters, with growth averaging 2.6%.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q1 2023 (growth of 19.1%), and the weakest in Q4 2025 (a decline of 2.7%).
- Business Quant data shows MORN's Depreciation & Amortization (CF) at $51.7 million (Q1 2026), $47.1 million (Q4 2025) and $47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 133.53 Bn | 129.14 Bn | 2.98 Bn | 32.00 Mn |
| 2 | Moodys | 84.66 Bn | 77.72 Bn | 1.50 Bn | 124.00 Mn |
| 3 | Msci | 44.49 Bn | 42.98 Bn | 739.80 Mn | 6.50 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn | 66.30 Mn |
| 5 | Equifax | 21.92 Bn | 21.32 Bn | 940.10 Mn | 196.40 Mn |
| 6 | TransUnion | 16.01 Bn | 12.99 Bn | - | 160.50 Mn |
| 7 | Factset Research Systems | 11.83 Bn | 10.68 Bn | 308.40 Mn | 47.12 Mn |
| 8 | Morningstar | 8.38 Bn | 6.28 Bn | 423.90 Mn | 53.50 Mn |
| 9 | Mastercard | 550.99 Bn | 510.91 Bn | - | 309.00 Mn |
| 10 | Cme | 109.93 Bn | 98.03 Bn | - | 28.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.50 Mn |
| Mar 31, 2026 | 51.70 Mn |
| Dec 31, 2025 | 47.10 Mn |
| Sep 30, 2025 | 47.00 Mn |
| Jun 30, 2025 | 48.50 Mn |
| Mar 31, 2025 | 47.30 Mn |
| Dec 31, 2024 | 48.40 Mn |
| Sep 30, 2024 | 45.70 Mn |
| Jun 30, 2024 | 49.10 Mn |
| Mar 31, 2024 | 47.20 Mn |
| Dec 31, 2023 | 46.50 Mn |
| Sep 30, 2023 | 46.60 Mn |
| Jun 30, 2023 | 47.00 Mn |
| Mar 31, 2023 | 44.80 Mn |
| Dec 31, 2022 | 44.80 Mn |
| Sep 30, 2022 | 44.20 Mn |
| Jun 30, 2022 | 40.00 Mn |
| Mar 31, 2022 | 37.60 Mn |
| Dec 31, 2021 | 38.40 Mn |
| Sep 30, 2021 | 38.10 Mn |
API Access
Morningstar 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=MORN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "MORN", "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=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();