Morningstar (MORN) Intangibles (2009 - 2026)
Morningstar's Intangibles came in at $569.2 million for Q2 2026, up 37.7% from $413.3 million a year earlier but down 3.8% from the prior quarter.
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Analysis
Morningstar (MORN) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Morningstar's Intangibles was $379.3 million, down 7.2% from FY2024.
- Intangibles has declined in each of the last three years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Going back by year, Intangibles was $408.8 million in FY2024 (-15.6%), $484.4 million in FY2023 (-11.7%), $548.6 million in FY2022 (+67.2%) and $328.2 million in FY2021 (-13.7%).
- The five-year range for quarterly Intangibles is $321.6 million (Q1 2022) to $593.2 million (Q2 2022).
- Year-over-year, Intangibles increased in two of the last eight quarters, with growth averaging 2.3%.
- The fastest year-over-year change in Intangibles over five years came in Q2 2022 (growth of 68.0%), and the weakest in Q4 2024 (a decline of 15.6%).
- Business Quant data shows MORN's Intangibles at $591.4 million (Q1 2026), $379.3 million (Q4 2025) and $396 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 15.70 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.75 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 855.90 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 313.50 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 1.22 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 3.52 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 1.87 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 569.20 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 5.47 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 2.49 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 569.20 Mn |
| Mar 31, 2026 | 591.40 Mn |
| Dec 31, 2025 | 379.30 Mn |
| Sep 30, 2025 | 396.00 Mn |
| Jun 30, 2025 | 413.30 Mn |
| Mar 31, 2025 | 420.40 Mn |
| Dec 31, 2024 | 408.80 Mn |
| Sep 30, 2024 | 432.50 Mn |
| Jun 30, 2024 | 443.10 Mn |
| Mar 31, 2024 | 463.40 Mn |
| Dec 31, 2023 | 484.40 Mn |
| Sep 30, 2023 | 495.40 Mn |
| Jun 30, 2023 | 518.50 Mn |
| Mar 31, 2023 | 532.60 Mn |
| Dec 31, 2022 | 548.60 Mn |
| Sep 30, 2022 | 559.10 Mn |
| Jun 30, 2022 | 593.20 Mn |
| Mar 31, 2022 | 321.60 Mn |
| Dec 31, 2021 | 328.20 Mn |
| Sep 30, 2021 | 344.20 Mn |
API Access
Morningstar Intangibles 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=intangibles&ticker=MORN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();