Saul Centers (BFS) EBITDA (2010 - 2018)
Saul Centers (BFS) posted EBITDA of $27.42 million for Q4 2018, up 6.6% from $25.71 million a year earlier but down 1.9% from the prior quarter.
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Analysis
Saul Centers (BFS) EBITDA (2010 - 2018) Analysis & Trends
For FY2018, Saul Centers' EBITDA came in at $108.41 million, up 2.0% from FY2017.
- Annual EBITDA has increased for seven consecutive years, with a five-year compound annual growth rate of 5.1% (FY2013 to FY2018).
- In prior years, Saul Centers' EBITDA was $106.29 million in FY2017 (+6.2%), $100.13 million in FY2016 (+4.1%), $96.2 million in FY2015 (+3.3%) and $93.13 million in FY2014 (+10.3%).
- Quarterly EBITDA has run from a low of $22.74 million in Q3 2014 to a high of $28.72 million in Q1 2017 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 4.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2014, with growth of 22.5%; the weakest was Q1 2018, with a decline of 8.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $27.95 million (Q3 2018), $26.76 million (Q2 2018) and $26.3 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.94 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 1.35 Bn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.35 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 754.44 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 577.79 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 449.31 Mn |
| 10 | Saul Centers | 748.53 Mn | 922.18 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 27.42 Mn |
| Sep 30, 2018 | 27.95 Mn |
| Jun 30, 2018 | 26.76 Mn |
| Mar 31, 2018 | 26.30 Mn |
| Dec 31, 2017 | 25.71 Mn |
| Sep 30, 2017 | 25.75 Mn |
| Jun 30, 2017 | 26.11 Mn |
| Mar 31, 2017 | 28.72 Mn |
| Dec 31, 2016 | 24.30 Mn |
| Sep 30, 2016 | 24.35 Mn |
| Jun 30, 2016 | 24.07 Mn |
| Mar 31, 2016 | 27.42 Mn |
| Dec 31, 2015 | 24.97 Mn |
| Sep 30, 2015 | 24.37 Mn |
| Jun 30, 2015 | 23.73 Mn |
| Mar 31, 2015 | 23.13 Mn |
| Dec 31, 2014 | 24.54 Mn |
| Sep 30, 2014 | 22.74 Mn |
| Jun 30, 2014 | 24.73 Mn |
| Mar 31, 2014 | 22.89 Mn |
API Access
Saul Centers EBITDA 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=ebitda&ticker=BFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "BFS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=BFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();