STAG Industrial (STAG) FCF Payout Ratio (2010 - 2016)
STAG Industrial's (STAG) FCF Payout Ratio was 1.28 for Q1 2016, down 3.0% from 1.32 a year earlier but up 18.8% from the prior quarter.
STAG Industrial (STAG) FCF Payout Ratio (2010 - 2016) Analysis & Trends
Over the twelve months ended Mar 31, 2016, STAG Industrial's FCF Payout Ratio came in at 1.00, up 1.0% year-over-year; for FY2015, it came in at 1.00, up 0.7% from FY2014.
- By year, FCF Payout Ratio came in at 1.00 in FY2014 (+0.5%) and 0.99 in FY2013.
- Five-year quarterly FCF Payout Ratio spans a low of 0.14 in Q4 2013 and a high of 1.53 in Q1 2014.
- Year over year, FCF Payout Ratio gained in four of the last six quarters, with growth averaging 106.5%.
- Per Business Quant data, the three quarters before Q1 2016 came in at 1.08 (Q4 2015), 0.89 (Q3 2015) and 0.86 (Q2 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 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 | - | 0.70 |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 0.71 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 0.56 |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 0.62 |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 0.69 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | STAG Industrial | 6.91 Bn | 6.98 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 1.28 |
| Dec 31, 2015 | 1.08 |
| Sep 30, 2015 | 0.89 |
| Jun 30, 2015 | 0.86 |
| Mar 31, 2015 | 1.32 |
| Dec 31, 2014 | 1.02 |
| Sep 30, 2014 | 0.88 |
| Jun 30, 2014 | 0.83 |
| Mar 31, 2014 | 1.53 |
| Dec 31, 2013 | 0.14 |
| Mar 31, 2011 | 0.84 |
| Dec 31, 2010 | 0.37 |
| Sep 30, 2010 | 0.79 |
STAG Industrial FCF Payout Ratio 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=fcf-payout-ratio&ticker=STAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "ticker": "STAG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=fcf-payout-ratio&ticker=STAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();