Morningstar (MORN) Operating Expenses (2009 - 2026)
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Analysis
Morningstar (MORN) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 389.90 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 1.92 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 1.12 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 443.70 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 1.34 Bn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 1.05 Bn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 478.07 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 504.70 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 3.95 Bn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 595.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 504.70 Mn |
| Jun 30, 2026 | 509.40 Mn |
| Mar 31, 2026 | 489.80 Mn |
| Dec 31, 2025 | 505.10 Mn |
| Sep 30, 2025 | 490.10 Mn |
| Jun 30, 2025 | 480.80 Mn |
| Mar 31, 2025 | 467.80 Mn |
| Dec 31, 2024 | 486.80 Mn |
| Sep 30, 2024 | 453.90 Mn |
| Jun 30, 2024 | 463.40 Mn |
| Mar 31, 2024 | 450.20 Mn |
| Dec 31, 2023 | 444.30 Mn |
| Sep 30, 2023 | 445.50 Mn |
| Jun 30, 2023 | 463.00 Mn |
| Mar 31, 2023 | 455.20 Mn |
| Dec 31, 2022 | 439.50 Mn |
| Sep 30, 2022 | 446.20 Mn |
| Jun 30, 2022 | 416.50 Mn |
| Mar 31, 2022 | 400.60 Mn |
| Dec 31, 2021 | 387.40 Mn |
API Access
Morningstar Operating Expenses 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=operating-expenses&ticker=MORN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();