Msci (MSCI) Long-Term Debt Repayments (2009 - 2026)
Msci (MSCI) reported Long-Term Debt Repayments of $225 million for Q2 2026, up 50.1% from $149.9 million a year earlier and up 28.6% from the prior quarter.
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Analysis
Msci (MSCI) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Msci's Long-Term Debt Repayments came in at $1.29 billion, up 195.9% year-over-year; for FY2025, it came in at $1.1 billion, up 97.1% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $559.06 million in FY2024, $8.75 million in FY2023 (+21.7%), $7.19 million in FY2022 (-99.3%) and $1.05 billion in FY2021 (-7.9%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $2.19 million in Q2 2023 and a high of $711.98 million in Q3 2025.
- Year over year, Long-Term Debt Repayments gained in two of the last four quarters, with growth averaging 32.1%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $175 million (Q1 2026), $175 million (Q4 2025) and $711.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 126.49 Bn | 117.07 Bn | 2.98 Bn | - |
| 2 | Moodys | 83.74 Bn | 76.03 Bn | 1.67 Bn | - |
| 3 | Msci | 40.93 Bn | 39.28 Bn | 717.10 Mn | 225.00 Mn |
| 4 | Verisk Analytics | 24.74 Bn | 19.38 Bn | 572.90 Mn | - |
| 5 | Equifax | 18.74 Bn | 18.01 Bn | 926.40 Mn | 275.00 Mn |
| 6 | TransUnion | 14.06 Bn | 10.88 Bn | - | 23.10 Mn |
| 7 | Factset Research Systems | 10.96 Bn | 9.73 Bn | 310.73 Mn | 75.00 Mn |
| 8 | Morningstar | 7.77 Bn | 5.67 Bn | 423.90 Mn | 84.70 Mn |
| 9 | Mastercard | 544.62 Bn | 504.55 Bn | - | - |
| 10 | Cme | 105.82 Bn | 93.92 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 225.00 Mn |
| Mar 31, 2026 | 175.00 Mn |
| Dec 31, 2025 | 175.00 Mn |
| Sep 30, 2025 | 711.98 Mn |
| Jun 30, 2025 | 149.90 Mn |
| Mar 31, 2025 | 65.00 Mn |
| Dec 31, 2024 | 195.00 Mn |
| Sep 30, 2024 | 25.00 Mn |
| Mar 31, 2024 | 339.06 Mn |
| Dec 31, 2023 | 2.19 Mn |
| Sep 30, 2023 | 2.19 Mn |
| Jun 30, 2023 | 2.19 Mn |
| Mar 31, 2023 | 2.19 Mn |
| Dec 31, 2022 | 2.19 Mn |
| Mar 31, 2022 | 5.00 Mn |
| Sep 30, 2021 | 533.57 Mn |
| Jun 30, 2020 | 834.51 Mn |
| Mar 31, 2020 | 307.88 Mn |
| Dec 31, 2014 | 794.81 Mn |
| Sep 30, 2014 | 5.06 Mn |
API Access
Msci 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=MSCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "MSCI", "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=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();