Moodys (MCO) Goodwill impairment charges (2012)
Moodys (MCO) posted Goodwill impairment charges of $11.2 million for Q4 2012.
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Analysis
Moodys (MCO) Goodwill impairment charges (2012) Analysis & Trends
For FY2012, Moodys' Goodwill impairment charges came in at $12.2 million.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - |
API Access
Moodys Goodwill impairment charges 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=goodwill-impairment-charges&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-impairment-charges", "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=goodwill-impairment-charges&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();