Weis Markets (WMK) Depreciation and Depletion (2010 - 2016)
Weis Markets (WMK) recorded Depreciation and Depletion of $17.63 million in Q4 2016, up 10.9% from $15.89 million a year earlier and up 7.6% from the prior quarter.
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Analysis
Weis Markets (WMK) Depreciation and Depletion (2010 - 2016) Analysis & Trends
For FY2016, Weis Markets reported Depreciation and Depletion of $66.5 million, up 7.5% from FY2015.
- Annual Depreciation and Depletion has increased for four straight years, with a five-year compound annual growth rate of 4.6% (FY2011 to FY2016).
- Across earlier years, Depreciation and Depletion came in at $61.83 million in FY2015 (+4.8%), $59 million in FY2014 (+15.5%), $51.07 million in FY2013 (+15.7%) and $44.15 million in FY2012 (-17.0%).
- The Q4 2016 figure is the highest quarterly Depreciation and Depletion in data going back to Q3 2010.
- On a year-over-year basis, Depreciation and Depletion has increased for five consecutive quarters, with growth averaging 6.2% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 19.8% in Q4 2013, against a decline of 21.6% in Q4 2012 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.39 million (Q3 2016), $16.25 million (Q2 2016) and $16.23 million (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 955.12 Bn | 911.55 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 448.30 Bn | 371.58 Bn | 12.19 Bn | - |
| 3 | Kroger | 40.72 Bn | 26.87 Bn | 7.86 Bn | - |
| 4 | Sysco | 39.28 Bn | 33.53 Bn | 4.13 Bn | - |
| 5 | Dollar General | 29.41 Bn | 24.09 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 26.05 Bn | 24.05 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 23.76 Bn | 20.38 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.25 Bn | 22.05 Bn | 1.92 Bn | 104.00 Mn |
| 9 | Tractor Supply | 17.66 Bn | 16.83 Bn | 1.68 Bn | - |
| 10 | Weis Markets | 1.95 Bn | 1.15 Bn | 328.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 17.63 Mn |
| Sep 24, 2016 | 16.39 Mn |
| Jun 25, 2016 | 16.25 Mn |
| Mar 26, 2016 | 16.23 Mn |
| Dec 26, 2015 | 15.89 Mn |
| Sep 26, 2015 | 15.32 Mn |
| Jun 27, 2015 | 15.32 Mn |
| Mar 28, 2015 | 15.30 Mn |
| Dec 27, 2014 | 15.24 Mn |
| Sep 27, 2014 | 15.35 Mn |
| Jun 28, 2014 | 14.24 Mn |
| Mar 29, 2014 | 14.17 Mn |
| Dec 28, 2013 | 13.57 Mn |
| Sep 28, 2013 | 12.99 Mn |
| Jun 29, 2013 | 12.45 Mn |
| Mar 30, 2013 | 12.06 Mn |
| Dec 29, 2012 | 11.32 Mn |
| Sep 29, 2012 | 11.08 Mn |
| Jun 30, 2012 | 10.93 Mn |
| Mar 31, 2012 | 10.82 Mn |
API Access
Weis Markets 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=WMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "WMK", "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=WMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();