Moodys (MCO) Total Non-Current Liabilities (2009 - 2026)
Moodys' Total Non-Current Liabilities was $10.72 billion in Q2 2026, up 2.4% from $10.47 billion a year earlier but down 0.9% from the prior quarter.
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Analysis
Moodys (MCO) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Moodys came in at $10.77 billion, down 4.4% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $11.26 billion in FY2024 (+7.6%), $10.47 billion in FY2023 (-4.7%), $10.99 billion in FY2022 (-3.0%) and $11.33 billion in FY2021 (+12.6%).
- Quarterly Total Non-Current Liabilities has moved between $10.19 billion (Q3 2023) and $11.67 billion (Q1 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 1.2%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 19.2%); the worst was Q3 2023 (a decline of 6.7%).
- Per Business Quant data, MCO's Total Non-Current Liabilities in the three quarters before Q2 2026 was $10.82 billion (Q1 2026), $10.77 billion (Q4 2025) and $10.4 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 30.53 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 10.72 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 8.15 Bn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 5.65 Bn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 7.33 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 7.06 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 2.12 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 2.90 Bn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 47.50 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 167.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.72 Bn |
| Mar 31, 2026 | 10.82 Bn |
| Dec 31, 2025 | 10.77 Bn |
| Sep 30, 2025 | 10.40 Bn |
| Jun 30, 2025 | 10.47 Bn |
| Mar 31, 2025 | 10.66 Bn |
| Dec 31, 2024 | 11.26 Bn |
| Sep 30, 2024 | 11.04 Bn |
| Jun 30, 2024 | 10.46 Bn |
| Mar 31, 2024 | 10.64 Bn |
| Dec 31, 2023 | 10.47 Bn |
| Sep 30, 2023 | 10.19 Bn |
| Jun 30, 2023 | 10.69 Bn |
| Mar 31, 2023 | 11.05 Bn |
| Dec 31, 2022 | 10.99 Bn |
| Sep 30, 2022 | 10.92 Bn |
| Jun 30, 2022 | 11.32 Bn |
| Mar 31, 2022 | 11.67 Bn |
| Dec 31, 2021 | 11.33 Bn |
| Sep 30, 2021 | 11.30 Bn |
API Access
Moodys 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=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MCO", "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=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();