Harley-Davidson (HOG) Depreciation and Depletion (2011 - 2015)
Harley-Davidson (HOG) reported Depreciation and Depletion of $56.05 million for Q4 2015, up 15.3% from $48.61 million a year earlier and up 15.8% from the prior quarter.
Harley-Davidson (HOG) Depreciation and Depletion (2011 - 2015) Analysis & Trends
For FY2015, Harley-Davidson posted Depreciation and Depletion of $198.07 million, up 10.5% from FY2014.
- Depreciation and Depletion has a five-year compound annual growth rate of -4.9% (FY2010 to FY2015).
- By year, Depreciation and Depletion came in at $179.3 million in FY2014 (+7.3%), $167.07 million in FY2013 (-1.1%), $168.98 million in FY2012 (-6.3%) and $180.41 million in FY2011 (-29.3%).
- The Q4 2015 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q3 2011.
- Year over year, Depreciation and Depletion has now increased in each of the last nine quarters, with growth averaging 8.9% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2015 (growth of 15.3%); the low point was Q4 2012 (a decline of 14.3%).
- Per Business Quant data, the three quarters before Q4 2015 came in at $48.38 million (Q3 2015), $47.61 million (Q2 2015) and $46.03 million (Q1 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn | 1.37 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn | - |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn | 24.66 Mn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn | - |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn | 1.30 Bn |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn | 1.87 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn | 227.00 Mn |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn | - |
| 10 | Harley-Davidson | 2.58 Bn | -5.97 Bn | 421.12 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 56.05 Mn |
| Sep 27, 2015 | 48.38 Mn |
| Jun 28, 2015 | 47.61 Mn |
| Mar 29, 2015 | 46.03 Mn |
| Dec 31, 2014 | 48.61 Mn |
| Sep 28, 2014 | 43.57 Mn |
| Jun 29, 2014 | 43.73 Mn |
| Mar 30, 2014 | 43.40 Mn |
| Dec 31, 2013 | 44.41 Mn |
| Sep 29, 2013 | 39.25 Mn |
| Jun 30, 2013 | 40.56 Mn |
| Mar 31, 2013 | 42.85 Mn |
| Dec 31, 2012 | 41.54 Mn |
| Sep 30, 2012 | 41.45 Mn |
| Jul 1, 2012 | 42.79 Mn |
| Apr 1, 2012 | 43.20 Mn |
| Dec 31, 2011 | 48.47 Mn |
| Sep 25, 2011 | 42.40 Mn |
Harley-Davidson Depreciation and Depletion 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=depreciation-and-depletion&ticker=HOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "HOG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=HOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();