Moodys (MCO) Interest & Investment Income (2009 - 2019)
Moodys (MCO) reported Interest & Investment Income of $3.9 million for Q2 2019, up 14.7% from $3.4 million a year earlier but down 22.0% from the prior quarter.
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Analysis
Moodys (MCO) Interest & Investment Income (2009 - 2019) Analysis & Trends
Over the twelve months ended Jun 30, 2019, Moodys' Interest & Investment Income came in at $17 million, up 22.3% year-over-year; for FY2018, it was $14.7 million, down 8.1% from FY2017.
- Interest & Investment Income has a five-year compound annual growth rate of 21.7% (FY2013 to FY2018).
- By year, Interest & Investment Income came in at $16 million in FY2017 (+46.8%), $10.9 million in FY2016 (+12.4%), $9.7 million in FY2015 (+44.8%) and $6.7 million in FY2014 (+21.8%).
- Five-year quarterly Interest & Investment Income spans a low of $1.6 million in Q4 2014 and a high of $5 million in Q1 2019.
- Year over year, Interest & Investment Income has now increased in each of the last three quarters, with growth averaging 16.8% over the last eight quarters.
- The high point for year-over-year Interest & Investment Income in five years was Q3 2017 (growth of 72.0%); the low point was Q2 2018 (a decline of 26.1%).
- Per Business Quant data, the three quarters before Q2 2019 came in at $5 million (Q1 2019), $4 million (Q4 2018) and $4.1 million (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int & Inv Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 137.78 Bn | 127.63 Bn | 2.64 Bn | - |
| 2 | Moodys | 87.99 Bn | 80.92 Bn | 1.50 Bn | - |
| 3 | Msci | 46.93 Bn | 45.41 Bn | 739.80 Mn | 2.90 Mn |
| 4 | Verisk Analytics | 26.53 Bn | 21.17 Bn | 572.90 Mn | - |
| 5 | Equifax | 22.42 Bn | 21.69 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.89 Bn | 12.58 Bn | - | 9.00 Mn |
| 7 | Factset Research Systems | 11.93 Bn | 10.78 Bn | 308.40 Mn | 1.44 Mn |
| 8 | Morningstar | 9.27 Bn | 7.16 Bn | 431.40 Mn | - |
| 9 | Mastercard | 581.81 Bn | 541.90 Bn | - | 88.00 Mn |
| 10 | Cme | 109.22 Bn | 97.56 Bn | - | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 3.90 Mn |
| Mar 31, 2019 | 5.00 Mn |
| Dec 31, 2018 | 4.00 Mn |
| Sep 30, 2018 | 4.10 Mn |
| Jun 30, 2018 | 3.40 Mn |
| Mar 31, 2018 | 3.20 Mn |
| Dec 31, 2017 | 3.00 Mn |
| Sep 30, 2017 | 4.30 Mn |
| Jun 30, 2017 | 4.60 Mn |
| Mar 31, 2017 | 4.10 Mn |
| Dec 31, 2016 | 2.70 Mn |
| Sep 30, 2016 | 2.50 Mn |
| Jun 30, 2016 | 2.80 Mn |
| Mar 31, 2016 | 2.90 Mn |
| Dec 31, 2015 | 2.70 Mn |
| Sep 30, 2015 | 2.80 Mn |
| Jun 30, 2015 | 2.30 Mn |
| Mar 31, 2015 | 1.90 Mn |
| Dec 31, 2014 | 1.60 Mn |
| Sep 30, 2014 | 1.80 Mn |
API Access
Moodys Interest & Investment Income 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=interest-and-investment-income&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-and-investment-income", "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=interest-and-investment-income&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();