Morningstar (MORN) Total Current Liabilities (2009 - 2026)
Morningstar (MORN) posted Total Current Liabilities of $1.02 billion for Q3 2026, up 7.4% from $945.5 million a year earlier and up 3.6% 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 $720.5 million in Q1 2022 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 11 quarters, with growth averaging 8.6% 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 $980.3 million (Q2 2026), $1.03 billion (Q1 2026) and $1.05 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 8.72 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 3.28 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 1.57 Bn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 1.12 Bn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 1.46 Bn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 1.08 Bn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 1.09 Bn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 1.02 Bn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 24.20 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 156.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.02 Bn |
| 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 |
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();