Morningstar (MORN) Long-Term Debt Repayments (2017 - 2026)
Morningstar's Long-Term Debt Repayments was $80 million in Q2 2026, down 5.9% from $85 million a year earlier but up 166.7% from the prior quarter.
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Analysis
Morningstar (MORN) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Morningstar's Long-Term Debt Repayments was $435 million through Jun 30, 2026, up 55.7% year-over-year; for FY2025, it came in at $450 million, up 73.5% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $259.4 million in FY2024 (-28.9%), $365 million in FY2023 (+2.8%), $355 million in FY2022 (+294.4%) and $90 million in FY2021 (-73.8%).
- Quarterly Long-Term Debt Repayments has moved between $15 million (Q4 2021) and $230 million (Q4 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in two of the last five quarters, with growth averaging 12.4%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q2 2022 (growth of 500.0%); the worst was Q4 2021 (a decline of 94.3%).
- Per Business Quant data, MORN's Long-Term Debt Repayments in the three quarters before Q2 2026 was $30 million (Q1 2026), $230 million (Q4 2025) and $95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 128.26 Bn | 118.84 Bn | 2.98 Bn | - |
| 2 | Moodys | 84.81 Bn | 77.10 Bn | 1.67 Bn | - |
| 3 | Msci | 43.06 Bn | 41.40 Bn | 717.10 Mn | 225.00 Mn |
| 4 | Verisk Analytics | 25.33 Bn | 19.97 Bn | 572.90 Mn | - |
| 5 | Equifax | 19.93 Bn | 19.21 Bn | 926.40 Mn | 275.00 Mn |
| 6 | TransUnion | 14.52 Bn | 11.34 Bn | - | 23.10 Mn |
| 7 | Factset Research Systems | 11.12 Bn | 9.88 Bn | 310.73 Mn | 75.00 Mn |
| 8 | Morningstar | 7.94 Bn | 5.84 Bn | 423.90 Mn | 84.70 Mn |
| 9 | Mastercard | 545.84 Bn | 505.77 Bn | - | - |
| 10 | Cme | 107.29 Bn | 95.39 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 10.00 Mn |
API Access
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_KEYimport 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();