VersaBank (VBNK) Occupancy Expense (2021 - 2026)
Analysis
VersaBank (VBNK) Occupancy Expense (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.70 Mn |
| Apr 30, 2026 | 1.35 Mn |
| Jan 31, 2026 | 1.29 Mn |
| Oct 31, 2025 | 1.41 Mn |
| Jul 31, 2025 | 1.33 Mn |
| Apr 30, 2025 | 1.17 Mn |
| Jan 31, 2025 | 1.12 Mn |
| Oct 31, 2024 | 1.16 Mn |
| Jul 31, 2024 | 871,992.50 |
| Apr 30, 2024 | 899,037.22 |
| Jan 31, 2024 | 852,898.86 |
| Oct 31, 2023 | 729,381.45 |
| Jul 31, 2023 | 734,219.73 |
| Apr 30, 2023 | 725,007.24 |
| Jan 31, 2023 | 705,807.49 |
| Oct 31, 2022 | 741,601.99 |
| Jul 31, 2022 | 722,322.70 |
| Apr 30, 2022 | 806,925.35 |
| Jan 31, 2022 | 733,985.84 |
| Oct 31, 2021 | 792,256.02 |
API Access
VersaBank 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=VBNK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "VBNK", "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=VBNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();