Morningstar (MORN) Long-Term Debt Repayments (2017 - 2026)
Morningstar's Long-Term Debt Repayments was $64.7 million in Q3 2026, down 31.9% from $95 million a year earlier and down 23.6% from the prior quarter.
Morningstar (MORN) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Morningstar's Long-Term Debt Repayments was $759.4 million through Sep 30, 2026, up 96.6% year-over-year; for FY2025, it came in at $800 million, up 119.5% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $364.4 million in FY2024 (-8.3%), $397.5 million in FY2023 (+6.3%), $374.1 million in FY2022 (+274.1%) and $100 million in FY2021 (-78.9%).
- Quarterly Long-Term Debt Repayments has moved between $15 million (Q4 2021) and $580 million (Q4 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments has declined for three straight quarters, with growth averaging 58.6% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2022 (growth of 800.0%); the worst was Q4 2021 (a decline of 96.1%).
- Per Business Quant data, MORN's Long-Term Debt Repayments in the three quarters before Q3 2026 was $84.7 million (Q2 2026), $30 million (Q1 2026) and $580 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.60 Bn | 126.45 Bn | 2.64 Bn | - |
| 2 | Moodys | 87.36 Bn | 80.29 Bn | 1.50 Bn | - |
| 3 | Msci | 46.52 Bn | 45.00 Bn | 739.80 Mn | 340.00 Mn |
| 4 | Verisk Analytics | 26.51 Bn | 21.15 Bn | 572.90 Mn | - |
| 5 | Equifax | 22.26 Bn | 21.54 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.70 Bn | 12.39 Bn | - | 130.30 Mn |
| 7 | Factset Research Systems | 11.87 Bn | 10.72 Bn | 308.40 Mn | 167.50 Mn |
| 8 | Morningstar | 9.12 Bn | 7.01 Bn | 431.40 Mn | 64.70 Mn |
| 9 | Mastercard | 579.47 Bn | 539.56 Bn | - | 618.00 Mn |
| 10 | Cme | 108.68 Bn | 97.01 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 64.70 Mn |
| Jun 30, 2026 | 84.70 Mn |
| Mar 31, 2026 | 30.00 Mn |
| Dec 31, 2025 | 580.00 Mn |
| Sep 30, 2025 | 95.00 Mn |
| Jun 30, 2025 | 85.00 Mn |
| Mar 31, 2025 | 40.00 Mn |
| Dec 31, 2024 | 166.30 Mn |
| Sep 30, 2024 | 35.00 Mn |
| Jun 30, 2024 | 50.00 Mn |
| Mar 31, 2024 | 113.10 Mn |
| Dec 31, 2023 | 83.10 Mn |
| Sep 30, 2023 | 128.10 Mn |
| Jun 30, 2023 | 113.20 Mn |
| Mar 31, 2023 | 73.10 Mn |
| Dec 31, 2022 | 63.20 Mn |
| Sep 30, 2022 | 90.00 Mn |
| Jun 30, 2022 | 190.90 Mn |
| Mar 31, 2022 | 30.00 Mn |
| Dec 31, 2021 | 15.00 Mn |
Morningstar Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MORN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();