Msci (MSCI) Total Non-Current Liabilities (2009 - 2026)
Msci's Total Non-Current Liabilities came in at $8.47 billion for Q3 2026, up 17.9% from $7.19 billion a year earlier and up 3.9% from the prior quarter.
Msci (MSCI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Msci's Total Non-Current Liabilities was $8.24 billion, up 31.5% from FY2024.
- Total Non-Current Liabilities has increased in each of the last 11 years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $6.27 billion in FY2024 (+1.7%), $6.16 billion in FY2023 (+4.2%), $5.91 billion in FY2022 (+6.3%) and $5.57 billion in FY2021 (+22.2%).
- The Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Year-over-year, Total Non-Current Liabilities has increased for 45 consecutive quarters, with growth averaging 17.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 1.1% in Q2 2025 to 32.6% in Q2 2026.
- Business Quant data shows MSCI's Total Non-Current Liabilities at $8.15 billion (Q2 2026), $8.19 billion (Q1 2026) and $8.24 billion (Q4 2025) in the three quarters before Q3 2026.
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 | 8.47 Bn |
| Jun 30, 2026 | 8.15 Bn |
| Mar 31, 2026 | 8.19 Bn |
| Dec 31, 2025 | 8.24 Bn |
| Sep 30, 2025 | 7.19 Bn |
| Jun 30, 2025 | 6.15 Bn |
| Mar 31, 2025 | 6.18 Bn |
| Dec 31, 2024 | 6.27 Bn |
| Sep 30, 2024 | 6.05 Bn |
| Jun 30, 2024 | 6.09 Bn |
| Mar 31, 2024 | 6.03 Bn |
| Dec 31, 2023 | 6.16 Bn |
| Sep 30, 2023 | 5.83 Bn |
| Jun 30, 2023 | 5.86 Bn |
| Mar 31, 2023 | 5.87 Bn |
| Dec 31, 2022 | 5.91 Bn |
| Sep 30, 2022 | 5.76 Bn |
| Jun 30, 2022 | 5.76 Bn |
| Mar 31, 2022 | 5.47 Bn |
| Dec 31, 2021 | 5.57 Bn |
Msci 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=MSCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();