Moodys (MCO) Cash & Equivalents (2009 - 2026)
Moodys (MCO) recorded Cash & Equivalents of $1.47 billion in Q2 2026, down 32.5% from $2.17 billion a year earlier and down 0.1% from the prior quarter.
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Analysis
Moodys (MCO) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Moodys reported Cash & Equivalents of $2.38 billion, down 1.0% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $2.41 billion in FY2024 (+13.1%), $2.13 billion in FY2023 (+20.4%), $1.77 billion in FY2022 (-2.3%) and $1.81 billion in FY2021 (-30.3%).
- The Q2 2026 figure is the lowest quarterly Cash & Equivalents since Q3 2019.
- On a year-over-year basis, Cash & Equivalents has declined for six consecutive quarters, with an average decline of 8.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 40.9% in Q2 2023, against a decline of 42.4% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.47 billion (Q1 2026), $2.38 billion (Q4 2025) and $2.18 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 4.13 Bn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 1.47 Bn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 356.40 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 551.40 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 170.10 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 839.10 Mn |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 288.11 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 489.50 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 11.29 Bn |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | 2.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.47 Bn |
| Mar 31, 2026 | 1.47 Bn |
| Dec 31, 2025 | 2.38 Bn |
| Sep 30, 2025 | 2.18 Bn |
| Jun 30, 2025 | 2.17 Bn |
| Mar 31, 2025 | 2.14 Bn |
| Dec 31, 2024 | 2.41 Bn |
| Sep 30, 2024 | 2.64 Bn |
| Jun 30, 2024 | 2.64 Bn |
| Mar 31, 2024 | 2.48 Bn |
| Dec 31, 2023 | 2.13 Bn |
| Sep 30, 2023 | 2.01 Bn |
| Jun 30, 2023 | 2.28 Bn |
| Mar 31, 2023 | 2.12 Bn |
| Dec 31, 2022 | 1.77 Bn |
| Sep 30, 2022 | 1.66 Bn |
| Jun 30, 2022 | 1.62 Bn |
| Mar 31, 2022 | 1.75 Bn |
| Dec 31, 2021 | 1.81 Bn |
| Sep 30, 2021 | 2.24 Bn |
API Access
Moodys Cash & Equivalents 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=cash-and-equivalents&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();