Unifirst (UNF) Depreciation and Depletion (2009 - 2018)
Unifirst (UNF) posted Depreciation and Depletion of $21.8 million for fiscal Q1 2019 (quarter ended Nov 24, 2018), up 11.5% from $19.54 million a year earlier but down 2.7% from the prior quarter.
Unifirst (UNF) Depreciation and Depletion (2009 - 2018) Analysis & Trends
For the trailing twelve months through Nov 24, 2018, Depreciation and Depletion at Unifirst was $85.63 million, up 11.0% year-over-year; for FY2018 (ended Aug 25, 2018), it came in at $83.38 million, up 9.6% from FY2017.
- Annual Depreciation and Depletion has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 6.9% (FY2013 to FY2018).
- In prior fiscal years, Unifirst's Depreciation and Depletion was $76.07 million in FY2017 (+4.2%), $72.98 million in FY2016 (+7.1%), $68.16 million in FY2015 (+8.6%) and $62.79 million in FY2014 (+5.0%).
- Quarterly Depreciation and Depletion has run from a low of $15.62 million in fiscal Q2 2014 to a high of $22.39 million in fiscal Q4 2018 over five years.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last 23 quarters, with growth averaging 7.7% over the last eight quarters.
- The year-over-year growth in Depreciation and Depletion has ranged between 1.7% (fiscal Q4 2014) and 15.5% (fiscal Q4 2015) over the last five years.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $22.39 million (Q4 2018), $21.43 million (Q3 2018) and $20.02 million (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 152.43 Bn | 111.71 Bn | 6.13 Bn | 143.59 Mn |
| 2 | Cintas | 89.87 Bn | 88.95 Bn | 1.55 Bn | 78.92 Mn |
| 3 | Iron Mountain | 32.78 Bn | 31.97 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 17.10 Bn | 14.14 Bn | 703.00 Mn | 21.00 Mn |
| 5 | Rollins | 16.67 Bn | 16.22 Bn | 582.90 Mn | - |
| 6 | Gartner | 15.33 Bn | 9.02 Bn | 1.19 Bn | 25.15 Mn |
| 7 | UL Solutions | 14.83 Bn | 13.59 Bn | 417.00 Mn | - |
| 8 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - | - |
| 10 | Unifirst | 5.10 Bn | 4.44 Bn | 234.73 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Nov 24, 2018 | 21.80 Mn |
| Aug 25, 2018 | 22.39 Mn |
| May 26, 2018 | 21.43 Mn |
| Feb 24, 2018 | 20.02 Mn |
| Nov 25, 2017 | 19.54 Mn |
| Aug 26, 2017 | 20.11 Mn |
| May 27, 2017 | 18.92 Mn |
| Feb 25, 2017 | 18.55 Mn |
| Nov 26, 2016 | 18.50 Mn |
| Aug 27, 2016 | 19.43 Mn |
| May 28, 2016 | 18.26 Mn |
| Feb 27, 2016 | 17.65 Mn |
| Nov 28, 2015 | 17.64 Mn |
| Aug 29, 2015 | 18.89 Mn |
| May 30, 2015 | 16.78 Mn |
| Feb 28, 2015 | 16.63 Mn |
| Nov 29, 2014 | 15.87 Mn |
| Aug 30, 2014 | 16.36 Mn |
| May 31, 2014 | 15.97 Mn |
| Mar 1, 2014 | 15.62 Mn |
Unifirst 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=UNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "UNF", "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=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();