Unifirst (UNF) Land & Improvements (2010 - 2015)
Unifirst's Land & Improvements was $402.78 million in fiscal Q4 2015 (quarter ended Aug 29, 2015), up 2.3% from $393.58 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Unifirst (UNF) Land & Improvements (2010 - 2015) Analysis & Trends
From fiscal Q4 2010 onward, Unifirst has reported Land & Improvements for 21 quarters.
- Land & Improvements has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 3.8% (FY2010 to FY2015).
- In earlier fiscal years, Land & Improvements was $393.58 million in FY2014 (+4.6%), $376.22 million in FY2013 (+5.8%), $355.57 million in FY2012 (+2.5%) and $346.74 million in FY2011 (+3.8%).
- The fiscal Q4 2015 figure marks the highest quarterly Land & Improvements in data going back to fiscal Q4 2010.
- Compared with a year earlier, Land & Improvements has increased for 17 straight quarters, with growth averaging 3.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Land & Improvements ran from 1.6% in fiscal Q3 2012 to 6.5% in fiscal Q3 2013.
- Per Business Quant data, UNF's Land & Improvements in the three fiscal quarters before Q4 2015 was $400.24 million (Q3 2015), $397 million (Q2 2015) and $395.46 million (Q1 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 150.95 Bn | 110.23 Bn | 6.13 Bn | - |
| 2 | Cintas | 89.62 Bn | 88.70 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.19 Bn | 31.38 Bn | 1.07 Bn | - |
| 4 | Rollins | 16.96 Bn | 16.50 Bn | 569.95 Mn | - |
| 5 | APi | 16.90 Bn | 13.94 Bn | 703.00 Mn | - |
| 6 | Gartner | 15.17 Bn | 8.87 Bn | 1.19 Bn | - |
| 7 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | - |
| 8 | Aramark | 14.06 Bn | 12.01 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.52 Bn | 5.03 Bn | - | - |
| 10 | Unifirst | 5.05 Bn | 4.39 Bn | 234.73 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2015 | 402.78 Mn |
| May 30, 2015 | 400.24 Mn |
| Feb 28, 2015 | 397.00 Mn |
| Nov 29, 2014 | 395.46 Mn |
| Aug 30, 2014 | 393.58 Mn |
| May 31, 2014 | 391.07 Mn |
| Mar 1, 2014 | 386.51 Mn |
| Nov 30, 2013 | 385.03 Mn |
| Aug 31, 2013 | 376.22 Mn |
| May 25, 2013 | 373.53 Mn |
| Feb 23, 2013 | 369.82 Mn |
| Nov 24, 2012 | 365.58 Mn |
| Aug 25, 2012 | 355.57 Mn |
| May 26, 2012 | 350.70 Mn |
| Feb 25, 2012 | 349.67 Mn |
| Nov 26, 2011 | 345.02 Mn |
| Aug 27, 2011 | 346.74 Mn |
| May 28, 2011 | 345.22 Mn |
| Feb 26, 2011 | 343.42 Mn |
| Nov 27, 2010 | 338.10 Mn |
API Access
Unifirst Land & Improvements 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=land-and-improvements&ticker=UNF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();