Morningstar (MORN) Capital Expenditures (2009 - 2026)
Morningstar's Capital Expenditures was $33.2 million in Q2 2026, down 9.3% from $36.6 million a year earlier and down 12.4% from the prior quarter.
Morningstar (MORN) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Morningstar's Capital Expenditures was $149.4 million through Jun 30, 2026, up 2.7% 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%).
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures since Q1 2025.
- Compared with a year earlier, Capital Expenditures was higher in five of the last eight quarters, with growth averaging 10.0%.
- 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 Q2 2026 was $37.9 million (Q1 2026), $42.7 million (Q4 2025) and $35.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 38.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 91.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 11.00 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 68.10 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 135.00 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 69.20 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 30.48 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 33.20 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 291.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 23.60 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 30.20 Mn |
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_KEY
import 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();