Morningstar (MORN) Cash & Equivalents (2009 - 2026)
Morningstar (MORN) reported Cash & Equivalents of $489.5 million for Q2 2026, down 2.8% from $503.5 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Morningstar (MORN) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Morningstar posted Cash & Equivalents of $474.5 million, down 5.6% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $502.7 million in FY2024 (+48.8%), $337.9 million in FY2023 (-10.3%), $376.6 million in FY2022 (-22.2%) and $483.8 million in FY2021 (+14.5%).
- Five-year quarterly Cash & Equivalents spans a low of $325 million in Q3 2023 and a high of $552.9 million in Q3 2024.
- Year over year, Cash & Equivalents has now declined in each of the last four quarters, with growth averaging 20.7% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2024 (growth of 70.1%); the low point was Q1 2023 (a decline of 27.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $492.8 million (Q1 2026), $474.5 million (Q4 2025) and $474.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 4.13 Bn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 1.47 Bn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 356.40 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 551.40 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 170.10 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 839.10 Mn |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 288.11 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 489.50 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 11.29 Bn |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | 2.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 489.50 Mn |
| Mar 31, 2026 | 492.80 Mn |
| Dec 31, 2025 | 474.50 Mn |
| Sep 30, 2025 | 474.20 Mn |
| Jun 30, 2025 | 503.50 Mn |
| Mar 31, 2025 | 511.50 Mn |
| Dec 31, 2024 | 502.70 Mn |
| Sep 30, 2024 | 552.90 Mn |
| Jun 30, 2024 | 391.20 Mn |
| Mar 31, 2024 | 353.70 Mn |
| Dec 31, 2023 | 337.90 Mn |
| Sep 30, 2023 | 325.00 Mn |
| Jun 30, 2023 | 343.30 Mn |
| Mar 31, 2023 | 352.20 Mn |
| Dec 31, 2022 | 376.60 Mn |
| Sep 30, 2022 | 372.70 Mn |
| Jun 30, 2022 | 380.20 Mn |
| Mar 31, 2022 | 483.50 Mn |
| Dec 31, 2021 | 483.80 Mn |
| Sep 30, 2021 | 427.00 Mn |
API Access
Morningstar Cash & Equivalents 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=cash-and-equivalents&ticker=MORN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();