Tjx Companies (TJX) Land & Improvements (2009 - 2016)
Tjx Companies (TJX) posted Land & Improvements of $1.08 billion for fiscal Q2 2017 (quarter ended Jul 30, 2016), up 19.0% from $905.39 million a year earlier and up 2.7% from the prior quarter.
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Analysis
Tjx Companies (TJX) Land & Improvements (2009 - 2016) Analysis & Trends
At the end of FY2016 (ended Jan 30, 2016), Tjx Companies' Land & Improvements came in at $1.01 billion, up 14.0% from FY2015.
- Annual Land & Improvements has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 25.9% (FY2011 to FY2016).
- In prior fiscal years, Tjx Companies' Land & Improvements was $888.58 million in FY2015 (+23.0%), $722.65 million in FY2014 (+18.9%), $607.76 million in FY2013 (+73.8%) and $349.78 million in FY2012 (+9.1%).
- The fiscal Q2 2017 figure stands as the highest quarterly Land & Improvements in data going back to fiscal Q4 2009.
- On a year-over-year basis, Land & Improvements has increased in each of the last 27 quarters, with growth averaging 18.1% over the last eight quarters.
- The year-over-year growth in Land & Improvements has ranged between 9.1% (fiscal Q4 2012) and 73.8% (fiscal Q4 2013) over the last five years.
- According to Business Quant data, Land & Improvements for the three prior fiscal quarters was $1.05 billion (Q1 2017), $1.01 billion (Q4 2016) and $917.65 million (Q3 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | - |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.84 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 30, 2016 | 1.08 Bn |
| Apr 30, 2016 | 1.05 Bn |
| Jan 30, 2016 | 1.01 Bn |
| Oct 31, 2015 | 917.65 Mn |
| Aug 1, 2015 | 905.39 Mn |
| May 2, 2015 | 902.49 Mn |
| Jan 31, 2015 | 888.58 Mn |
| Nov 1, 2014 | 808.36 Mn |
| Aug 2, 2014 | 755.89 Mn |
| May 3, 2014 | 732.44 Mn |
| Feb 1, 2014 | 722.65 Mn |
| Nov 2, 2013 | 694.35 Mn |
| Aug 3, 2013 | 660.93 Mn |
| May 4, 2013 | 630.56 Mn |
| Feb 2, 2013 | 607.76 Mn |
| Oct 27, 2012 | 529.86 Mn |
| Jul 28, 2012 | 406.52 Mn |
| Apr 28, 2012 | 412.54 Mn |
| Jan 28, 2012 | 349.78 Mn |
| Oct 29, 2011 | 344.88 Mn |
API Access
Tjx Companies 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=TJX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "TJX", "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=TJX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();