Moodys (MCO) Change in Receivables (2009 - 2026)
Moodys (MCO) recorded Change in Receivables of -$86 million in Q3 2026, compared with $31 million a year earlier.
Powered by 
Analysis
Moodys (MCO) Change in Receivables (2009 - 2026) Analysis & Trends
On a TTM basis, Moodys' Change in Receivables came in at $100 million as of Sep 30, 2026, up 23.5% year-over-year; for FY2025, it was $203 million, up 8.6% from FY2024.
- Across earlier years, Change in Receivables came in at $187 million in FY2024, $12 million in FY2023, -$9 million in FY2022 and $270 million in FY2021.
- Quarterly Change in Receivables has ranged from -$180 million in Q2 2022 to $266 million in Q4 2025 over the past five years.
- On a year-over-year basis, Change in Receivables rose in three of the last four quarters, with growth averaging 50.7%.
- Peak year-over-year performance for Change in Receivables in the last five years was growth of 264.8% in Q1 2024, against a decline of 91.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -$127 million (Q2 2026), $47 million (Q1 2026) and $266 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | -27.10 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | -127.00 Mn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | -86.00 Mn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 12.40 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 500,000.00 |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | -21.70 Mn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 10.19 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 43.10 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 213.00 Mn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 35.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -86.00 Mn |
| Jun 30, 2026 | -127.00 Mn |
| Mar 31, 2026 | 47.00 Mn |
| Dec 31, 2025 | 266.00 Mn |
| Sep 30, 2025 | 31.00 Mn |
| Jun 30, 2025 | -110.00 Mn |
| Mar 31, 2025 | 16.00 Mn |
| Dec 31, 2024 | 144.00 Mn |
| Sep 30, 2024 | -21.00 Mn |
| Jun 30, 2024 | -133.00 Mn |
| Mar 31, 2024 | 197.00 Mn |
| Dec 31, 2023 | 124.00 Mn |
| Jun 30, 2023 | -166.00 Mn |
| Mar 31, 2023 | 54.00 Mn |
| Dec 31, 2022 | 114.00 Mn |
| Sep 30, 2022 | -60.00 Mn |
| Jun 30, 2022 | -180.00 Mn |
| Mar 31, 2022 | 117.00 Mn |
| Dec 31, 2021 | 133.00 Mn |
| Sep 30, 2021 | 108.00 Mn |
API Access
Moodys Change in 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=change-in-receivables&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();