Moodys (MCO) Prepaid Assets (2009 - 2019)
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.
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Analysis
Moodys (MCO) Prepaid Assets (2009 - 2019) 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 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 147.70 Mn |
| Mar 31, 2019 | 104.40 Mn |
| Dec 31, 2018 | 102.00 Mn |
| Sep 30, 2018 | 78.90 Mn |
| Jun 30, 2018 | 114.70 Mn |
| Mar 31, 2018 | 95.70 Mn |
| Dec 31, 2017 | 94.90 Mn |
| Sep 30, 2017 | 89.90 Mn |
| Jun 30, 2017 | 121.90 Mn |
| Mar 31, 2017 | 175.90 Mn |
| Dec 31, 2016 | 65.70 Mn |
| Sep 30, 2016 | 57.00 Mn |
| Jun 30, 2016 | 67.70 Mn |
| Mar 31, 2016 | 74.10 Mn |
| Dec 31, 2015 | 83.30 Mn |
| Sep 30, 2015 | 69.80 Mn |
| Jun 30, 2015 | 70.30 Mn |
| Mar 31, 2015 | 64.40 Mn |
| Dec 31, 2014 | 65.40 Mn |
| Sep 30, 2014 | 108.20 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_KEYimport 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();