Morningstar (MORN) Selling, General & Administrative (2009 - 2026)
Morningstar's Selling, General & Administrative was $98.5 million in Q2 2026, up 20.1% from $82 million a year earlier and up 17.3% from the prior quarter.
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Analysis
Morningstar (MORN) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Morningstar's Selling, General & Administrative was $358 million through Jun 30, 2026, up 10.1% year-over-year; for FY2025, it came in at $334 million, up 2.1% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $327.2 million in FY2024 (-8.0%), $355.8 million in FY2023 (-11.1%), $400.4 million in FY2022 (+25.8%) and $318.4 million in FY2021 (+17.1%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q4 2022.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 2.7% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2022 (growth of 74.5%); the worst was Q3 2023 (a decline of 23.3%).
- Per Business Quant data, MORN's Selling, General & Administrative in the three quarters before Q2 2026 was $84 million (Q1 2026), $89.6 million (Q4 2025) and $85.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 873.00 Mn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 463.00 Mn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 46.20 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 128.60 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 422.50 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 346.50 Mn |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 144.43 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 98.50 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 3.08 Bn |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.50 Mn |
| Mar 31, 2026 | 84.00 Mn |
| Dec 31, 2025 | 89.60 Mn |
| Sep 30, 2025 | 85.90 Mn |
| Jun 30, 2025 | 82.00 Mn |
| Mar 31, 2025 | 76.50 Mn |
| Dec 31, 2024 | 89.00 Mn |
| Sep 30, 2024 | 77.60 Mn |
| Jun 30, 2024 | 80.30 Mn |
| Mar 31, 2024 | 80.30 Mn |
| Dec 31, 2023 | 92.00 Mn |
| Sep 30, 2023 | 89.70 Mn |
| Jun 30, 2023 | 90.10 Mn |
| Mar 31, 2023 | 84.00 Mn |
| Dec 31, 2022 | 106.10 Mn |
| Sep 30, 2022 | 116.90 Mn |
| Jun 30, 2022 | 87.10 Mn |
| Mar 31, 2022 | 90.30 Mn |
| Dec 31, 2021 | 85.90 Mn |
| Sep 30, 2021 | 67.00 Mn |
API Access
Morningstar Selling, General & Administrative 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=selling-general-and-administrative&ticker=MORN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();