Saul Centers (BFS) Operating Expenses (2010 - 2026)
Saul Centers (BFS) recorded Operating Expenses of $65.25 million in Q2 2026, up 14.9% from $56.77 million a year earlier but down 1.5% from the prior quarter.
Saul Centers (BFS) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Saul Centers' Operating Expenses came in at $256.42 million as of Jun 30, 2026, up 16.0% year-over-year; for FY2025, it was $240.74 million, up 19.6% from FY2024.
- Annual Operating Expenses has increased for seven straight years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $201.33 million in FY2024 (+7.0%), $188.18 million in FY2023 (+4.3%), $180.47 million in FY2022 (+1.6%) and $177.58 million in FY2021 (+1.4%).
- Quarterly Operating Expenses has ranged from $43.3 million in Q2 2022 to $66.96 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 16 consecutive quarters, with growth averaging 15.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 21.8% in Q1 2025, against a decline of 5.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $66.22 million (Q1 2026), $66.96 million (Q4 2025) and $58.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | Saul Centers | 748.53 Mn | 922.18 Mn | - | 65.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.25 Mn |
| Mar 31, 2026 | 66.22 Mn |
| Dec 31, 2025 | 66.96 Mn |
| Sep 30, 2025 | 58.01 Mn |
| Jun 30, 2025 | 56.77 Mn |
| Mar 31, 2025 | 59.01 Mn |
| Dec 31, 2024 | 57.57 Mn |
| Sep 30, 2024 | 47.70 Mn |
| Jun 30, 2024 | 47.63 Mn |
| Mar 31, 2024 | 48.43 Mn |
| Dec 31, 2023 | 49.22 Mn |
| Sep 30, 2023 | 47.06 Mn |
| Jun 30, 2023 | 46.52 Mn |
| Mar 31, 2023 | 45.39 Mn |
| Dec 31, 2022 | 46.95 Mn |
| Sep 30, 2022 | 45.57 Mn |
| Jun 30, 2022 | 43.30 Mn |
| Mar 31, 2022 | 44.65 Mn |
| Dec 31, 2021 | 44.39 Mn |
| Sep 30, 2021 | 43.37 Mn |
Saul Centers Operating Expenses 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=operating-expenses&ticker=BFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();