Terreno Realty (TRNO) Land & Improvements (2011 - 2018)
Terreno Realty (TRNO) posted Land & Improvements of $803.15 million for Q3 2018, up 15.8% from $693.32 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Terreno Realty (TRNO) Land & Improvements (2011 - 2018) Analysis & Trends
At the end of FY2017, Terreno Realty's Land & Improvements came in at $759.66 million, up 33.2% from FY2016.
- Annual Land & Improvements has increased for six consecutive years, with a five-year compound annual growth rate of 28.3% (FY2012 to FY2017).
- In prior years, Terreno Realty's Land & Improvements was $570.18 million in FY2016 (+16.1%), $491.22 million in FY2015 (+26.6%), $388.01 million in FY2014 (+28.6%) and $301.8 million in FY2013 (+38.3%).
- The Q3 2018 figure stands as the highest quarterly Land & Improvements in data going back to Q4 2011.
- On a year-over-year basis, Land & Improvements has increased in each of the last 20 quarters, with growth averaging 22.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Land & Improvements ranged from 8.8% (Q1 2016) to 48.4% (Q1 2015).
- According to Business Quant data, Land & Improvements for the three prior quarters was $759.71 million (Q2 2018), $759.7 million (Q1 2018) and $759.66 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | Terreno Realty | 6.96 Bn | 6.96 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 803.15 Mn |
| Jun 30, 2018 | 759.71 Mn |
| Mar 31, 2018 | 759.70 Mn |
| Dec 31, 2017 | 759.66 Mn |
| Sep 30, 2017 | 693.32 Mn |
| Jun 30, 2017 | 663.95 Mn |
| Mar 31, 2017 | 572.09 Mn |
| Dec 31, 2016 | 570.18 Mn |
| Sep 30, 2016 | 545.64 Mn |
| Jun 30, 2016 | 514.49 Mn |
| Mar 31, 2016 | 505.97 Mn |
| Dec 31, 2015 | 491.22 Mn |
| Sep 30, 2015 | 464.66 Mn |
| Jun 30, 2015 | 470.93 Mn |
| Mar 31, 2015 | 464.87 Mn |
| Dec 31, 2014 | 388.01 Mn |
| Sep 30, 2014 | 348.99 Mn |
| Jun 30, 2014 | 337.18 Mn |
| Mar 31, 2014 | 313.26 Mn |
| Dec 31, 2013 | 301.80 Mn |
API Access
Terreno Realty 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=TRNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "TRNO", "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=TRNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();