Moodys (MCO) Receivables (2009 - 2026)
Moodys (MCO) posted Receivables of $2.53 billion for Q3 2026, up 9.8% from $2.3 billion a year earlier but down 2.1% from the prior quarter.
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Analysis
Moodys (MCO) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Moodys' Receivables came in at $2.63 billion, up 18.1% from FY2024.
- Annual Receivables has increased for three consecutive years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In prior years, Moodys' Receivables was $2.23 billion in FY2024 (+7.4%), $2.07 billion in FY2023 (+1.8%), $2.04 billion in FY2022 (-3.3%) and $2.11 billion in FY2021 (+11.5%).
- Quarterly Receivables has run from a low of $1.9 billion in Q3 2022 to a high of $2.63 billion in Q4 2025 over five years.
- On a year-over-year basis, Receivables has increased in each of the last 13 quarters, with growth averaging 9.1% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2022, with growth of 20.9%; the weakest was Q1 2023, with a decline of 12.7%.
- According to Business Quant data, Receivables for the three prior quarters was $2.58 billion (Q2 2026), $2.61 billion (Q1 2026) and $2.63 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 3.10 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 2.53 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 860.10 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 400.00 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 1.16 Bn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 1.02 Bn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 298.62 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 427.70 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 5.26 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 788.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.53 Bn |
| Jun 30, 2026 | 2.58 Bn |
| Mar 31, 2026 | 2.61 Bn |
| Dec 31, 2025 | 2.63 Bn |
| Sep 30, 2025 | 2.30 Bn |
| Jun 30, 2025 | 2.29 Bn |
| Mar 31, 2025 | 2.34 Bn |
| Dec 31, 2024 | 2.23 Bn |
| Sep 30, 2024 | 2.18 Bn |
| Jun 30, 2024 | 2.16 Bn |
| Mar 31, 2024 | 2.30 Bn |
| Dec 31, 2023 | 2.07 Bn |
| Sep 30, 2023 | 1.94 Bn |
| Jun 30, 2023 | 1.97 Bn |
| Mar 31, 2023 | 2.15 Bn |
| Dec 31, 2022 | 2.04 Bn |
| Sep 30, 2022 | 1.90 Bn |
| Jun 30, 2022 | 2.17 Bn |
| Mar 31, 2022 | 2.46 Bn |
| Dec 31, 2021 | 2.11 Bn |
API Access
Moodys Receivables 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=receivables&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();