Arrow Financial (AROW) Occupancy Expense (2010 - 2026)
Arrow Financial (AROW) reported Occupancy Expense of $2.81 million for Q3 2026, up 47.1% from $1.91 million a year earlier and up 33.5% from the prior quarter.
Arrow Financial (AROW) Occupancy Expense (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Arrow Financial's Occupancy Expense came in at $9.25 million, up 19.3% year-over-year; for FY2025, it was $7.76 million, up 8.3% from FY2024.
- Occupancy Expense has increased for eight consecutive years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- By year, Occupancy Expense came in at $7.17 million in FY2024 (+9.4%), $6.55 million in FY2023 (+5.7%), $6.2 million in FY2022 (+6.7%) and $5.81 million in FY2021 (+3.6%).
- The Q3 2026 figure ranks as the highest quarterly Occupancy Expense in data going back to Q2 2010.
- Year over year, Occupancy Expense has now increased in each of the last 12 quarters, with growth averaging 14.0% over the last eight quarters.
- The high point for year-over-year Occupancy Expense in five years was Q3 2026 (growth of 47.1%); the low point was Q4 2021 (a decline of 4.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $2.1 million (Q2 2026), $2.46 million (Q1 2026) and $1.88 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | Arrow Financial | 636.42 Mn | 613.46 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Mn |
| Mar 31, 2026 | 2.46 Mn |
| Dec 31, 2025 | 1.88 Mn |
| Sep 30, 2025 | 1.91 Mn |
| Jun 30, 2025 | 1.95 Mn |
| Mar 31, 2025 | 2.02 Mn |
| Dec 31, 2024 | 1.87 Mn |
| Sep 30, 2024 | 1.75 Mn |
| Jun 30, 2024 | 1.77 Mn |
| Mar 31, 2024 | 1.77 Mn |
| Dec 31, 2023 | 1.83 Mn |
| Sep 30, 2023 | 1.52 Mn |
| Jun 30, 2023 | 1.58 Mn |
| Mar 31, 2023 | 1.63 Mn |
| Dec 31, 2022 | 1.48 Mn |
| Sep 30, 2022 | 1.52 Mn |
| Jun 30, 2022 | 1.60 Mn |
| Mar 31, 2022 | 1.60 Mn |
| Dec 31, 2021 | 1.33 Mn |
| Sep 30, 2021 | 1.40 Mn |
Arrow 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=AROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "AROW", "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=AROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();