Moodys (MCO) Prepaid Assets (2009 - 2026)
Moodys' Prepaid Assets came in at $147.7 million for Q2 2019, up 28.8% from $114.7 million a year earlier and up 41.5% from the prior quarter.
Analysis
Moodys (MCO) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2018, Moodys' Prepaid Assets was $102 million, up 7.5% from FY2017.
- Prepaid Assets carries a five-year compound annual growth rate of 16.2% (FY2013 to FY2018).
- Going back by year, Prepaid Assets was $94.9 million in FY2017 (+44.4%), $65.7 million in FY2016 (-21.1%), $83.3 million in FY2015 (+27.4%) and $65.4 million in FY2014 (+36.0%).
- The Q2 2019 figure represents the highest quarterly Prepaid Assets since Q1 2017.
- Year-over-year, Prepaid Assets has increased for three consecutive quarters, with growth averaging 10.5% over the last eight quarters.
- The fastest year-over-year change in Prepaid Assets over five years came in Q1 2017 (growth of 137.4%), and the weakest in Q1 2018 (a decline of 45.6%).
- Business Quant data shows MCO's Prepaid Assets at $104.4 million (Q1 2019), $102 million (Q4 2018) and $78.9 million (Q3 2018) in the three quarters before Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 773.00 Mn |
| Jun 30, 2026 | 567.00 Mn |
| Mar 31, 2026 | 660.00 Mn |
| Dec 31, 2025 | 714.00 Mn |
| Sep 30, 2025 | 566.00 Mn |
| Jun 30, 2025 | 573.00 Mn |
| Mar 31, 2025 | 514.00 Mn |
| Dec 31, 2024 | 515.00 Mn |
| Sep 30, 2024 | 470.00 Mn |
| Jun 30, 2024 | 489.00 Mn |
| Mar 31, 2024 | 437.00 Mn |
| Dec 31, 2023 | 489.00 Mn |
| Sep 30, 2023 | 445.00 Mn |
| Jun 30, 2023 | 513.00 Mn |
| Mar 31, 2023 | 517.00 Mn |
| Dec 31, 2022 | 583.00 Mn |
| Sep 30, 2022 | 463.00 Mn |
| Jun 30, 2022 | 515.00 Mn |
| Mar 31, 2022 | 385.00 Mn |
| Dec 31, 2021 | 389.00 Mn |
API Access
Moodys Prepaid Assets 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=prepaid-assets&ticker=MCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();