Dana (DAN) Income from Non-Controlling Interests (2010 - 2016)
Dana (DAN) posted Income from Non-Controlling Interests of $4 million for Q4 2016, up 33.3% from $3 million a year earlier and unchanged from the prior quarter.
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Analysis
Dana (DAN) Income from Non-Controlling Interests (2010 - 2016) Analysis & Trends
For FY2016, Dana's Income from Non-Controlling Interests came in at $13 million, down 38.1% from FY2015.
- Annual Income from Non-Controlling Interests shows a five-year compound annual growth rate of 0.0% (FY2011 to FY2016).
- In prior years, Dana's Income from Non-Controlling Interests was $21 million in FY2015 (+133.3%), $9 million in FY2014 (-43.8%), $16 million in FY2013 (+6.7%) and $15 million in FY2012 (+15.4%).
- Quarterly Income from Non-Controlling Interests has run from a low of -$1 million in Q4 2014 to a high of $11 million in Q1 2015 over five years.
- On a year-over-year basis, Income from Non-Controlling Interests increased in three of the last seven quarters, with growth averaging 30.1%.
- The strongest year-over-year quarter for Income from Non-Controlling Interests in the past five years was Q1 2015, with growth of 266.7%; the weakest was Q4 2013, with a decline of 80.0%.
- According to Business Quant data, Income from Non-Controlling Interests for the three prior quarters was $4 million (Q3 2016), $2 million (Q2 2016) and $3 million (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inc. Minority (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.87 Bn | 287.57 Bn | 7.76 Bn | - |
| 2 | Amphenol | 177.62 Bn | 172.20 Bn | 3.55 Bn | 14.90 Mn |
| 3 | Deere | 172.99 Bn | 141.09 Bn | 4.66 Bn | -2.00 Mn |
| 4 | Eaton | 140.47 Bn | 137.66 Bn | 2.86 Bn | 1.00 Mn |
| 5 | Parker-Hannifin | 110.54 Bn | 108.66 Bn | 2.25 Bn | 1.00 Mn |
| 6 | 3M | 90.14 Bn | 71.58 Bn | 2.78 Bn | 37.00 Mn |
| 7 | Emerson Electric | 88.43 Bn | 81.17 Bn | 2.66 Bn | - |
| 8 | Illinois Tool Works | 80.07 Bn | 76.62 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 72.60 Bn | 63.22 Bn | 1.23 Bn | - |
| 10 | Dana | 2.91 Bn | 1.22 Bn | 210.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 4.00 Mn |
| Sep 30, 2016 | 4.00 Mn |
| Jun 30, 2016 | 2.00 Mn |
| Mar 31, 2016 | 3.00 Mn |
| Dec 31, 2015 | 3.00 Mn |
| Sep 30, 2015 | 3.00 Mn |
| Jun 30, 2015 | 4.00 Mn |
| Mar 31, 2015 | 11.00 Mn |
| Dec 31, 2014 | -1.00 Mn |
| Sep 30, 2014 | 3.00 Mn |
| Jun 30, 2014 | 4.00 Mn |
| Mar 31, 2014 | 3.00 Mn |
| Dec 31, 2013 | 1.00 Mn |
| Sep 30, 2013 | 3.00 Mn |
| Jun 30, 2013 | 4.00 Mn |
| Mar 31, 2013 | 8.00 Mn |
| Dec 31, 2012 | 5.00 Mn |
| Sep 30, 2012 | 4.00 Mn |
| Jun 30, 2012 | 3.00 Mn |
| Mar 31, 2012 | 3.00 Mn |
API Access
Dana Income from Non-Controlling Interests 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=income-from-non-controlling-interests&ticker=DAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "ticker": "DAN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=income-from-non-controlling-interests&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();