Moodys (MCO) Change in Other Operating Liabilities (2009 - 2026)
Moodys (MCO) posted Change in Other Operating Liabilities of -$188 million for Q3 2026, compared with -$159 million a year earlier.
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Analysis
Moodys (MCO) Change in Other Operating Liabilities (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Other Operating Liabilities at Moodys was $91 million, up 111.6% year-over-year; for FY2025, it was $101 million, down 31.3% from FY2024.
- In prior years, Moodys' Change in Other Operating Liabilities was $147 million in FY2024, -$23 million in FY2023, $4 million in FY2022 and -$1 million in FY2021.
- Quarterly Change in Other Operating Liabilities has run from a low of -$244 million in Q2 2025 to a high of $287 million in Q1 2024 over five years.
- On a year-over-year basis, Change in Other Operating Liabilities increased in three of the last four quarters, with growth averaging 57.0%.
- The strongest year-over-year quarter for Change in Other Operating Liabilities in the past five years was Q4 2021, with growth of 321.2%; the weakest was Q4 2022, with a decline of 43.2%.
- According to Business Quant data, Change in Other Operating Liabilities for the three prior quarters was -$227 million (Q2 2026), $248 million (Q1 2026) and $258 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | -110.80 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | -181.00 Mn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | -188.00 Mn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | -64.20 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 26.40 Mn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | -12.40 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | -25.60 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | -1.01 Bn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | -136.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -188.00 Mn |
| Jun 30, 2026 | -227.00 Mn |
| Mar 31, 2026 | 248.00 Mn |
| Dec 31, 2025 | 258.00 Mn |
| Sep 30, 2025 | -159.00 Mn |
| Jun 30, 2025 | -244.00 Mn |
| Mar 31, 2025 | 246.00 Mn |
| Dec 31, 2024 | 200.00 Mn |
| Sep 30, 2024 | -171.00 Mn |
| Jun 30, 2024 | -169.00 Mn |
| Mar 31, 2024 | 287.00 Mn |
| Dec 31, 2023 | 64.00 Mn |
| Sep 30, 2023 | -153.00 Mn |
| Jun 30, 2023 | -201.00 Mn |
| Mar 31, 2023 | 267.00 Mn |
| Dec 31, 2022 | 79.00 Mn |
| Sep 30, 2022 | -124.00 Mn |
| Jun 30, 2022 | -232.00 Mn |
| Mar 31, 2022 | 281.00 Mn |
| Dec 31, 2021 | 139.00 Mn |
API Access
Moodys Change in Other Operating 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=change-in-other-operating-liabilities&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-liabilities&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();