Moodys (MCO) Current Taxes (2009 - 2019)
Moodys (MCO) recorded Current Taxes of $75.1 million in Q2 2019, down 11.8% from $85.1 million a year earlier but up 14.8% from the prior quarter.
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Analysis
Moodys (MCO) Current Taxes (2009 - 2019) Analysis & Trends
At the end of FY2018, Moodys reported Current Taxes of $71.4 million, down 9.8% from FY2017.
- Annual Current Taxes has a five-year compound annual growth rate of 8.5% (FY2013 to FY2018).
- Across earlier years, Current Taxes came in at $79.2 million in FY2017 (+371.4%), $16.8 million in FY2016 (+46.1%), $11.5 million in FY2015 (-28.6%) and $16.1 million in FY2014 (-66.1%).
- Quarterly Current Taxes has ranged from $7.9 million in Q3 2016 to $86.7 million in Q1 2018 over the past five years.
- On a year-over-year basis, Current Taxes has declined for three consecutive quarters, with growth averaging 136.2% over the last eight quarters.
- Peak year-over-year performance for Current Taxes in the last five years was growth of 530.4% in Q3 2017, against a decline of 66.1% in Q4 2014 at the low end.
- Per Business Quant, the preceding three quarters came in at $65.4 million (Q1 2019), $71.4 million (Q4 2018) and $79.9 million (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 238.00 Mn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | - |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 40.30 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 5.30 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | - |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | - |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 5.18 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 14.70 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | - |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 75.10 Mn |
| Mar 31, 2019 | 65.40 Mn |
| Dec 31, 2018 | 71.40 Mn |
| Sep 30, 2018 | 79.90 Mn |
| Jun 30, 2018 | 85.10 Mn |
| Mar 31, 2018 | 86.70 Mn |
| Dec 31, 2017 | 79.20 Mn |
| Sep 30, 2017 | 49.80 Mn |
| Jun 30, 2017 | 53.60 Mn |
| Mar 31, 2017 | 40.30 Mn |
| Dec 31, 2016 | 16.80 Mn |
| Sep 30, 2016 | 7.90 Mn |
| Jun 30, 2016 | 21.70 Mn |
| Mar 31, 2016 | 41.50 Mn |
| Dec 31, 2015 | 11.50 Mn |
| Sep 30, 2015 | 12.00 Mn |
| Jun 30, 2015 | 23.50 Mn |
| Mar 31, 2015 | 50.40 Mn |
| Dec 31, 2014 | 16.10 Mn |
| Sep 30, 2014 | 22.10 Mn |
API Access
Moodys Current Taxes 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=current-taxes&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();