BayFirst Financial (BAFN) Occupancy Expense (2020 - 2026)
BayFirst Financial (BAFN) recorded Occupancy Expense of $1.31 million in Q3 2026, down 14.3% from $1.53 million a year earlier and down 3.3% from the prior quarter.
BayFirst Financial (BAFN) Occupancy Expense (2020 - 2026) Analysis & Trends
On a TTM basis, BayFirst Financial's Occupancy Expense came in at $5.36 million as of Sep 30, 2026, down 10.0% year-over-year; for FY2025, it was $6.07 million, up 25.2% from FY2024.
- Annual Occupancy Expense has increased for four straight years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Across earlier years, Occupancy Expense came in at $4.85 million in FY2024 (+1.9%), $4.76 million in FY2023 (+19.1%), $4 million in FY2022 (+24.3%) and $3.21 million in FY2021 (-27.8%).
- The Q3 2026 figure is the lowest quarterly Occupancy Expense since Q4 2024.
- On a year-over-year basis, Occupancy Expense has declined for three consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- Peak year-over-year performance for Occupancy Expense in the last five years was growth of 47.2% in Q1 2025, against a decline of 27.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.35 million (Q2 2026), $1.37 million (Q1 2026) and $1.33 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | BayFirst Financial | 164.20 Mn | -444.74 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.31 Mn |
| Jun 30, 2026 | 1.35 Mn |
| Mar 31, 2026 | 1.37 Mn |
| Dec 31, 2025 | 1.33 Mn |
| Sep 30, 2025 | 1.53 Mn |
| Jun 30, 2025 | 1.58 Mn |
| Mar 31, 2025 | 1.63 Mn |
| Dec 31, 2024 | 1.22 Mn |
| Sep 30, 2024 | 1.25 Mn |
| Jun 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 1.11 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 1.26 Mn |
| Jun 30, 2023 | 1.18 Mn |
| Mar 31, 2023 | 1.16 Mn |
| Dec 31, 2022 | 985,000.00 |
| Sep 30, 2022 | 1.07 Mn |
| Jun 30, 2022 | 973,000.00 |
| Mar 31, 2022 | 967,000.00 |
| Dec 31, 2021 | 852,000.00 |
BayFirst Financial Occupancy Expense 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=occupancy-expense&ticker=BAFN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "BAFN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=BAFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();