Saul Centers (BFS) Selling, General & Administrative (2010 - 2026)
Saul Centers' Selling, General & Administrative came in at $6.81 million for Q2 2026, up 6.2% from $6.42 million a year earlier and up 5.6% from the prior quarter.
Saul Centers (BFS) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Saul Centers reported Selling, General & Administrative of $27.76 million, up 8.4% year-over-year; for FY2025, it came in at $26.93 million, up 7.4% from FY2024.
- Selling, General & Administrative has increased in each of the last five years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $25.07 million in FY2024 (+6.9%), $23.46 million in FY2023 (+4.8%), $22.39 million in FY2022 (+10.6%) and $20.25 million in FY2021 (+6.0%).
- The five-year range for quarterly Selling, General & Administrative is $4.63 million (Q3 2021) to $7.85 million (Q4 2025).
- Year-over-year, Selling, General & Administrative has increased for 11 consecutive quarters, with growth averaging 7.0% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2022 (growth of 20.1%), and the weakest in Q3 2023 (a decline of 6.8%).
- Business Quant data shows BFS's Selling, General & Administrative at $6.45 million (Q1 2026), $7.85 million (Q4 2025) and $6.66 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 129.63 Mn |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 54.30 Mn |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 57.61 Mn |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 44.37 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 16.64 Mn |
| 10 | Saul Centers | 743.58 Mn | 917.22 Mn | - | 6.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.81 Mn |
| Mar 31, 2026 | 6.45 Mn |
| Dec 31, 2025 | 7.85 Mn |
| Sep 30, 2025 | 6.66 Mn |
| Jun 30, 2025 | 6.42 Mn |
| Mar 31, 2025 | 6.01 Mn |
| Dec 31, 2024 | 7.50 Mn |
| Sep 30, 2024 | 5.68 Mn |
| Jun 30, 2024 | 6.10 Mn |
| Mar 31, 2024 | 5.78 Mn |
| Dec 31, 2023 | 7.33 Mn |
| Sep 30, 2023 | 5.18 Mn |
| Jun 30, 2023 | 5.68 Mn |
| Mar 31, 2023 | 5.27 Mn |
| Dec 31, 2022 | 6.40 Mn |
| Sep 30, 2022 | 5.56 Mn |
| Jun 30, 2022 | 5.67 Mn |
| Mar 31, 2022 | 4.77 Mn |
| Dec 31, 2021 | 6.02 Mn |
| Sep 30, 2021 | 4.63 Mn |
Saul Centers Selling, General & Administrative 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=selling-general-and-administrative&ticker=BFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();