Terreno Realty (TRNO) Income from Continuing Operations (2011 - 2016)
Terreno Realty's Income from Continuing Operations came in at $1.83 million for Q4 2016, up 227.1% from $560,000 a year earlier but down 40.3% from the prior quarter.
Terreno Realty (TRNO) Income from Continuing Operations (2011 - 2016) Analysis & Trends
Over the trailing twelve months to Dec 31, 2016, Terreno Realty reported Income from Continuing Operations of $15.12 million, up 3.5% year-over-year; for FY2015, it came in at $14.6 million, up 36.2% from FY2014.
- Going back by year, Income from Continuing Operations was $10.72 million in FY2014 (+337.3%), $2.45 million in FY2013, -$2.03 million in FY2012 and -$5.81 million in FY2011.
- The five-year range for quarterly Income from Continuing Operations is -$845,000 (Q1 2015) to $10.67 million (Q2 2015).
- Year-over-year, Income from Continuing Operations increased in three of the last six quarters, with growth averaging 60.2%.
- The fastest year-over-year change in Income from Continuing Operations over five years came in Q2 2014 (growth of 631.5%), and the weakest in Q4 2015 (a decline of 79.8%).
- Business Quant data shows TRNO's Income from Continuing Operations at $3.07 million (Q3 2016), $2.78 million (Q2 2016) and $7.43 million (Q1 2016) in the three quarters before Q4 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 462.98 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.12 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 625.14 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 370.51 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 502.94 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 79.86 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 259.44 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 535.31 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 120.06 Mn |
| 10 | Terreno Realty | 6.96 Bn | 6.96 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 1.83 Mn |
| Sep 30, 2016 | 3.07 Mn |
| Jun 30, 2016 | 2.78 Mn |
| Mar 31, 2016 | 7.43 Mn |
| Dec 31, 2015 | 560,000.00 |
| Sep 30, 2015 | 4.21 Mn |
| Jun 30, 2015 | 10.67 Mn |
| Mar 31, 2015 | -845,000.00 |
| Dec 31, 2014 | 2.77 Mn |
| Sep 30, 2014 | 3.44 Mn |
| Jun 30, 2014 | 2.72 Mn |
| Mar 31, 2014 | 1.79 Mn |
| Dec 31, 2013 | 562,000.00 |
| Sep 30, 2013 | 933,000.00 |
| Jun 30, 2013 | 372,000.00 |
| Mar 31, 2013 | 584,000.00 |
| Dec 31, 2012 | -832,000.00 |
| Sep 30, 2012 | -147,000.00 |
| Jun 30, 2012 | -263,000.00 |
| Mar 31, 2012 | -789,000.00 |
Terreno Realty Income from Continuing Operations 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=income-from-continuing-operations&ticker=TRNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=TRNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();