Moodys (MCO) Long-Term Investments (2009 - 2019)
Moodys (MCO) reported Long-Term Investments of $121.4 million for Q2 2019, up 13.2% from $107.2 million a year earlier and up 8.8% from the prior quarter.
Powered by 
Analysis
Moodys (MCO) Long-Term Investments (2009 - 2019) Analysis & Trends
At the end of FY2018, Moodys posted Long-Term Investments of $104.6 million, up 5.5% from FY2017.
- Long-Term Investments has a five-year compound annual growth rate of 22.8% (FY2013 to FY2018).
- By year, Long-Term Investments came in at $99.1 million in FY2017 (+203.1%), $32.7 million in FY2016 (-40.5%), $55 million in FY2015 (+14.6%) and $48 million in FY2014 (+28.0%).
- The Q2 2019 figure ranks as the highest quarterly Long-Term Investments in data going back to Q4 2009.
- Year over year, Long-Term Investments has now increased in each of the last ten quarters, with growth averaging 42.0% over the last eight quarters.
- The high point for year-over-year Long-Term Investments in five years was Q4 2017 (growth of 203.1%); the low point was Q4 2016 (a decline of 40.5%).
- Per Business Quant data, the three quarters before Q2 2019 came in at $111.6 million (Q1 2019), $104.6 million (Q4 2018) and $98.3 million (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 613.00 Mn |
| 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 | 49.80 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 318.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 121.40 Mn |
| Mar 31, 2019 | 111.60 Mn |
| Dec 31, 2018 | 104.60 Mn |
| Sep 30, 2018 | 98.30 Mn |
| Jun 30, 2018 | 107.20 Mn |
| Mar 31, 2018 | 100.40 Mn |
| Dec 31, 2017 | 99.10 Mn |
| Sep 30, 2017 | 83.40 Mn |
| Jun 30, 2017 | 80.70 Mn |
| Mar 31, 2017 | 86.90 Mn |
| Dec 31, 2016 | 32.70 Mn |
| Sep 30, 2016 | 61.00 Mn |
| Jun 30, 2016 | 59.90 Mn |
| Mar 31, 2016 | 55.10 Mn |
| Dec 31, 2015 | 55.00 Mn |
| Sep 30, 2015 | 58.90 Mn |
| Jun 30, 2015 | 45.10 Mn |
| Mar 31, 2015 | 47.30 Mn |
| Dec 31, 2014 | 48.00 Mn |
| Sep 30, 2014 | 43.40 Mn |
API Access
Moodys Long-Term Investments 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=long-term-investments&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();