Morningstar (MORN) Receivables (2009 - 2026)
Morningstar (MORN) posted Receivables of $427.7 million for Q3 2026, up 17.5% from $363.9 million a year earlier and up 11.7% from the prior quarter.
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Analysis
Morningstar (MORN) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Morningstar's Receivables came in at $390.4 million, up 9.0% from FY2024.
- Annual Receivables has increased for 12 consecutive years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In prior years, Morningstar's Receivables was $358.1 million in FY2024 (+4.1%), $343.9 million in FY2023 (+11.7%), $307.9 million in FY2022 (+14.5%) and $268.9 million in FY2021 (+31.1%).
- The Q3 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2009.
- On a year-over-year basis, Receivables increased in seven of the last eight quarters, with growth averaging 9.7%.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2022, with growth of 33.0%; the weakest was Q2 2026, with a decline of 0.3%.
- According to Business Quant data, Receivables for the three prior quarters was $382.9 million (Q2 2026), $402.6 million (Q1 2026) and $390.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 3.10 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 2.53 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 860.10 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 400.00 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 1.16 Bn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 1.02 Bn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 298.62 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 427.70 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 5.26 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 788.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 427.70 Mn |
| Jun 30, 2026 | 382.90 Mn |
| Mar 31, 2026 | 402.60 Mn |
| Dec 31, 2025 | 390.40 Mn |
| Sep 30, 2025 | 363.90 Mn |
| Jun 30, 2025 | 384.00 Mn |
| Mar 31, 2025 | 342.10 Mn |
| Dec 31, 2024 | 358.10 Mn |
| Sep 30, 2024 | 328.40 Mn |
| Jun 30, 2024 | 336.40 Mn |
| Mar 31, 2024 | 326.20 Mn |
| Dec 31, 2023 | 343.90 Mn |
| Sep 30, 2023 | 298.00 Mn |
| Jun 30, 2023 | 321.80 Mn |
| Mar 31, 2023 | 297.90 Mn |
| Dec 31, 2022 | 307.90 Mn |
| Sep 30, 2022 | 284.50 Mn |
| Jun 30, 2022 | 307.30 Mn |
| Mar 31, 2022 | 276.40 Mn |
| Dec 31, 2021 | 268.90 Mn |
API Access
Morningstar Receivables 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=receivables&ticker=MORN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();