Moodys (MCO) Pension (2009 - 2019)
Moodys' Pension was $265.9 million in Q2 2019, up 2.1% from $260.4 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Moodys (MCO) Pension (2009 - 2019) Analysis & Trends
At the end of FY2018, Pension at Moodys came in at $249.2 million, up 1.9% from FY2017.
- Pension shows a five-year compound annual growth rate of 8.7% (FY2013 to FY2018).
- In earlier years, Pension was $244.5 million in FY2017 (-7.4%), $264.1 million in FY2016 (+0.9%), $261.7 million in FY2015 (+6.9%) and $244.8 million in FY2014 (+49.3%).
- The Q2 2019 figure marks the highest quarterly Pension since Q3 2017.
- Compared with a year earlier, Pension has increased for three straight quarters, with an average decline of 1.2% over the last eight quarters.
- The best year-over-year quarter for Pension over five years was Q2 2015 (growth of 51.8%); the worst was Q3 2014 (a decline of 21.8%).
- Per Business Quant data, MCO's Pension in the three quarters before Q2 2019 was $256.5 million (Q1 2019), $249.2 million (Q4 2018) and $252.7 million (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 265.90 Mn |
| Mar 31, 2019 | 256.50 Mn |
| Dec 31, 2018 | 249.20 Mn |
| Sep 30, 2018 | 252.70 Mn |
| Jun 30, 2018 | 260.40 Mn |
| Mar 31, 2018 | 256.00 Mn |
| Dec 31, 2017 | 244.50 Mn |
| Sep 30, 2017 | 268.30 Mn |
| Jun 30, 2017 | 259.40 Mn |
| Mar 31, 2017 | 272.50 Mn |
| Dec 31, 2016 | 264.10 Mn |
| Sep 30, 2016 | 256.10 Mn |
| Jun 30, 2016 | 248.00 Mn |
| Mar 31, 2016 | 270.00 Mn |
| Dec 31, 2015 | 261.70 Mn |
| Sep 30, 2015 | 230.10 Mn |
| Jun 30, 2015 | 245.50 Mn |
| Mar 31, 2015 | 251.10 Mn |
| Dec 31, 2014 | 244.80 Mn |
| Sep 30, 2014 | 166.10 Mn |
API Access
Moodys Pension 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=pension&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();