Moodys (MCO) Dividends payables (2009 - 2019)
Moodys (MCO) recorded Dividends payables of $5 million in Q2 2019, up 13.6% from $4.4 million a year earlier and up 25.0% from the prior quarter.
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Analysis
Moodys (MCO) Dividends payables (2009 - 2019) Analysis & Trends
At the end of FY2018, Moodys reported Dividends payables of $6.5 million, up 4.8% from FY2017.
- Annual Dividends payables has a five-year compound annual growth rate of -37.0% (FY2013 to FY2018).
- Across earlier years, Dividends payables came in at $6.2 million in FY2017 (-92.1%), $78.5 million in FY2016 (+0.4%), $78.2 million in FY2015 (+4.3%) and $75 million in FY2014 (+14.5%).
- Quarterly Dividends payables has ranged from $3.9 million in Q1 2015 to $78.5 million in Q4 2016 over the past five years.
- On a year-over-year basis, Dividends payables rose in four of the last eight quarters, with an average decline of 12.9%.
- Peak year-over-year performance for Dividends payables in the last five years was growth of 74.4% in Q1 2016, against a decline of 92.1% in Q4 2017 at the low end.
- Per Business Quant, the preceding three quarters came in at $4 million (Q1 2019), $6.5 million (Q4 2018) and $5.6 million (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (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 | 41.50 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 | 5.00 Mn |
| Mar 31, 2019 | 4.00 Mn |
| Dec 31, 2018 | 6.50 Mn |
| Sep 30, 2018 | 5.60 Mn |
| Jun 30, 2018 | 4.40 Mn |
| Mar 31, 2018 | 4.80 Mn |
| Dec 31, 2017 | 6.20 Mn |
| Sep 30, 2017 | 5.30 Mn |
| Jun 30, 2017 | 4.40 Mn |
| Mar 31, 2017 | 4.50 Mn |
| Dec 31, 2016 | 78.50 Mn |
| Sep 30, 2016 | 7.10 Mn |
| Jun 30, 2016 | 6.70 Mn |
| Mar 31, 2016 | 6.80 Mn |
| Dec 31, 2015 | 78.20 Mn |
| Sep 30, 2015 | 6.70 Mn |
| Jun 30, 2015 | 6.30 Mn |
| Mar 31, 2015 | 3.90 Mn |
| Dec 31, 2014 | 75.00 Mn |
| Sep 30, 2014 | 4.90 Mn |
API Access
Moodys Dividends payables 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=dividends-payables&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "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=dividends-payables&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();