Morningstar (MORN) Receivables (2009 - 2026)
Morningstar (MORN) posted Receivables of $382.9 million for Q2 2026, down 0.3% from $384 million a year earlier and down 4.9% 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%).
- Quarterly Receivables has run from a low of $239.3 million in Q3 2021 to a high of $402.6 million in Q1 2026 over five years.
- On a year-over-year basis, Receivables increased in seven of the last eight quarters, with growth averaging 8.8%.
- 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 $402.6 million (Q1 2026), $390.4 million (Q4 2025) and $363.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 3.44 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 2.58 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 884.40 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 400.00 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 1.16 Bn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 1.05 Bn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 289.99 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 382.90 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 5.05 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 753.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 239.30 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();