Morningstar (MORN) Capital Expenditures (2009 - 2026)
Morningstar's Capital Expenditures was $35.3 million in Q3 2026, down 0.8% from $35.6 million a year earlier but up 6.3% from the prior quarter.
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Analysis
Morningstar (MORN) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Morningstar's Capital Expenditures was $149.1 million through Sep 30, 2026, up 2.8% year-over-year; for FY2025, it was $147.1 million, up 3.1% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $142.7 million in FY2024 (+19.8%), $119.1 million in FY2023 (-8.0%), $129.5 million in FY2022 (+27.2%) and $101.8 million in FY2021 (+32.7%).
- Quarterly Capital Expenditures has moved between $28 million (Q1 2022) and $42.7 million (Q4 2025) over five years.
- Compared with a year earlier, Capital Expenditures was higher in four of the last eight quarters, with growth averaging 7.0%.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2022 (growth of 69.5%); the worst was Q4 2023 (a decline of 16.9%).
- Per Business Quant data, MORN's Capital Expenditures in the three quarters before Q3 2026 was $33.2 million (Q2 2026), $37.9 million (Q1 2026) and $42.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 13.40 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 28.00 Mn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 85.00 Mn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 67.20 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 123.50 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 66.90 Mn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 27.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 35.30 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 222.00 Mn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 15.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.30 Mn |
| Jun 30, 2026 | 33.20 Mn |
| Mar 31, 2026 | 37.90 Mn |
| Dec 31, 2025 | 42.70 Mn |
| Sep 30, 2025 | 35.60 Mn |
| Jun 30, 2025 | 36.60 Mn |
| Mar 31, 2025 | 32.20 Mn |
| Dec 31, 2024 | 40.60 Mn |
| Sep 30, 2024 | 36.10 Mn |
| Jun 30, 2024 | 31.90 Mn |
| Mar 31, 2024 | 34.10 Mn |
| Dec 31, 2023 | 30.00 Mn |
| Sep 30, 2023 | 29.30 Mn |
| Jun 30, 2023 | 30.30 Mn |
| Mar 31, 2023 | 29.50 Mn |
| Dec 31, 2022 | 36.10 Mn |
| Sep 30, 2022 | 33.70 Mn |
| Jun 30, 2022 | 31.70 Mn |
| Mar 31, 2022 | 28.00 Mn |
| Dec 31, 2021 | 30.20 Mn |
API Access
Morningstar Capital Expenditures 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=capital-expenditures&ticker=MORN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();