Morningstar (MORN) Total Current Liabilities (2009 - 2026)
Morningstar (MORN) posted Total Current Liabilities of $980.3 million for Q2 2026, up 6.4% from $921 million a year earlier but down 4.9% from the prior quarter.
Morningstar (MORN) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Morningstar's Total Current Liabilities came in at $1.05 billion, up 8.9% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In prior years, Morningstar's Total Current Liabilities was $967.3 million in FY2024 (+9.8%), $880.8 million in FY2023 (-0.2%), $882.5 million in FY2022 (+12.6%) and $783.5 million in FY2021 (+25.1%).
- Quarterly Total Current Liabilities has run from a low of $693.4 million in Q3 2021 to a high of $1.05 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last ten quarters, with growth averaging 9.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2021, with growth of 25.1%; the weakest was Q4 2023, with a decline of 0.2%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $1.03 billion (Q1 2026), $1.05 billion (Q4 2025) and $945.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 9.13 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 3.35 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 1.61 Bn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 1.12 Bn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 2.63 Bn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 1.15 Bn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 1.06 Bn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 980.30 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 25.00 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 158.72 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 980.30 Mn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 1.05 Bn |
| Sep 30, 2025 | 945.50 Mn |
| Jun 30, 2025 | 921.00 Mn |
| Mar 31, 2025 | 912.30 Mn |
| Dec 31, 2024 | 967.30 Mn |
| Sep 30, 2024 | 895.90 Mn |
| Jun 30, 2024 | 837.40 Mn |
| Mar 31, 2024 | 846.80 Mn |
| Dec 31, 2023 | 880.80 Mn |
| Sep 30, 2023 | 809.50 Mn |
| Jun 30, 2023 | 814.90 Mn |
| Mar 31, 2023 | 844.40 Mn |
| Dec 31, 2022 | 882.50 Mn |
| Sep 30, 2022 | 806.40 Mn |
| Jun 30, 2022 | 801.30 Mn |
| Mar 31, 2022 | 720.50 Mn |
| Dec 31, 2021 | 783.50 Mn |
| Sep 30, 2021 | 693.40 Mn |
Morningstar Total Current Liabilities 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=total-current-liabilities&ticker=MORN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();