Morningstar (MORN) Total Non-Current Liabilities (2009 - 2026)
Morningstar's Total Non-Current Liabilities was $2.89 billion in Q3 2026, up 42.6% from $2.03 billion a year earlier but down 0.2% from the prior quarter.
Morningstar (MORN) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Morningstar came in at $2.35 billion, up 22.7% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.92 billion in FY2024 (-7.1%), $2.07 billion in FY2023 (-6.2%), $2.2 billion in FY2022 (+55.7%) and $1.42 billion in FY2021 (+4.4%).
- Quarterly Total Non-Current Liabilities has moved between $1.42 billion (Q4 2021) and $2.95 billion (Q1 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 19.7% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 64.1%); the worst was Q2 2024 (a decline of 11.6%).
- Per Business Quant data, MORN's Total Non-Current Liabilities in the three quarters before Q3 2026 was $2.9 billion (Q2 2026), $2.95 billion (Q1 2026) and $2.35 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 8.47 Bn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 27.44 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 10.51 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 5.62 Bn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 7.19 Bn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 6.96 Bn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 2.11 Bn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 2.89 Bn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 46.71 Bn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 164.75 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.89 Bn |
| Jun 30, 2026 | 2.90 Bn |
| Mar 31, 2026 | 2.95 Bn |
| Dec 31, 2025 | 2.35 Bn |
| Sep 30, 2025 | 2.03 Bn |
| Jun 30, 2025 | 2.00 Bn |
| Mar 31, 2025 | 1.96 Bn |
| Dec 31, 2024 | 1.92 Bn |
| Sep 30, 2024 | 1.98 Bn |
| Jun 30, 2024 | 1.95 Bn |
| Mar 31, 2024 | 1.99 Bn |
| Dec 31, 2023 | 2.07 Bn |
| Sep 30, 2023 | 2.08 Bn |
| Jun 30, 2023 | 2.21 Bn |
| Mar 31, 2023 | 2.23 Bn |
| Dec 31, 2022 | 2.20 Bn |
| Sep 30, 2022 | 2.17 Bn |
| Jun 30, 2022 | 2.16 Bn |
| Mar 31, 2022 | 1.49 Bn |
| Dec 31, 2021 | 1.42 Bn |
Morningstar Total Non-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-non-current-liabilities&ticker=MORN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();