SRX Global (SRXH) Depreciation & Amortization - Total (2011 - 2016)
SRX Global's Depreciation & Amortization - Total was $552.00 in fiscal Q4 2016 (quarter ended Aug 31, 2016), down 66.4% from $1,642 a year earlier but up 1.1% from the prior quarter.
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Analysis
SRX Global (SRXH) Depreciation & Amortization - Total (2011 - 2016) Analysis & Trends
For FY2016 (ended Aug 31, 2016), Depreciation & Amortization - Total at SRX Global came in at $2,190, unchanged from FY2015.
- Depreciation & Amortization - Total shows a five-year compound annual growth rate of -12.2% (FY2011 to FY2016).
- In earlier fiscal years, Depreciation & Amortization - Total was $2,190 in FY2015 (-47.8%), $4,192 in FY2014 (unchanged), $4,192 in FY2013 (unchanged) and $4,192 in FY2012 (unchanged).
- Quarterly Depreciation & Amortization - Total has moved between $546.00 (fiscal Q1 2016) and $1,644 (fiscal Q3 2015) over five years.
- Compared with a year earlier, Depreciation & Amortization - Total has declined for four straight quarters, with an average decline of 14.5% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization - Total over five years was fiscal Q3 2015 (growth of 56.9%); the worst was fiscal Q3 2016 (a decline of 66.8%).
- Per Business Quant data, SRXH's Depreciation & Amortization - Total in the three fiscal quarters before Q4 2016 was $546.00 (Q3 2016), $546.00 (Q2 2016) and $546.00 (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | - |
| 10 | SRX Global | 899,803.21 | 899,803.21 | 1.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2016 | 552.00 |
| May 31, 2016 | 546.00 |
| Feb 29, 2016 | 546.00 |
| Nov 30, 2015 | 546.00 |
| Aug 31, 2015 | 1,642.00 |
| May 31, 2015 | 1,644.00 |
| Feb 28, 2015 | 548.00 |
| Nov 30, 2014 | 548.00 |
| Aug 31, 2014 | 1,048.00 |
| May 31, 2014 | 1,048.00 |
| Feb 28, 2014 | 1,048.00 |
| Nov 30, 2013 | 1,048.00 |
| Aug 31, 2013 | 1,048.00 |
| May 31, 2013 | 1,048.00 |
| Feb 28, 2013 | 1,048.00 |
| Nov 30, 2012 | 1,048.00 |
| Aug 31, 2012 | 1,048.00 |
| May 31, 2012 | 1,048.00 |
| Feb 29, 2012 | 1,048.00 |
| Nov 30, 2011 | 1,048.00 |
API Access
SRX Global Depreciation & Amortization - Total 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-amortization-total&ticker=SRXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "SRXH", "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-amortization-total&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();