Moodys (MCO) Total Current Liabilities (2009 - 2026)
Moodys (MCO) posted Total Current Liabilities of $3.35 billion for Q2 2026, up 26.4% from $2.65 billion a year earlier but down 8.2% from the prior quarter.
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Analysis
Moodys (MCO) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Moodys' Total Current Liabilities came in at $2.98 billion, down 17.1% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, Moodys' Total Current Liabilities was $3.6 billion in FY2024 (+43.9%), $2.5 billion in FY2023 (+5.3%), $2.38 billion in FY2022 (-4.8%) and $2.5 billion in FY2021 (+12.3%).
- Quarterly Total Current Liabilities has run from a low of $2.07 billion in Q3 2022 to a high of $3.64 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 8.3%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2021, with growth of 62.3%; the weakest was Q3 2022, with a decline of 26.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $3.64 billion (Q1 2026), $2.98 billion (Q4 2025) and $2.5 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 9.13 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 3.35 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 1.61 Bn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 1.12 Bn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 2.63 Bn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 1.15 Bn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 1.06 Bn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 980.30 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 25.00 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 158.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.35 Bn |
| Mar 31, 2026 | 3.64 Bn |
| Dec 31, 2025 | 2.98 Bn |
| Sep 30, 2025 | 2.50 Bn |
| Jun 30, 2025 | 2.65 Bn |
| Mar 31, 2025 | 2.92 Bn |
| Dec 31, 2024 | 3.60 Bn |
| Sep 30, 2024 | 3.24 Bn |
| Jun 30, 2024 | 3.22 Bn |
| Mar 31, 2024 | 3.38 Bn |
| Dec 31, 2023 | 2.50 Bn |
| Sep 30, 2023 | 2.27 Bn |
| Jun 30, 2023 | 2.67 Bn |
| Mar 31, 2023 | 2.99 Bn |
| Dec 31, 2022 | 2.38 Bn |
| Sep 30, 2022 | 2.07 Bn |
| Jun 30, 2022 | 2.76 Bn |
| Mar 31, 2022 | 2.99 Bn |
| Dec 31, 2021 | 2.50 Bn |
| Sep 30, 2021 | 2.79 Bn |
API Access
Moodys Total 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-current-liabilities&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();