Embassy Bancorp (EMYB) Occupancy Expense (2009 - 2026)
Embassy Bancorp (EMYB) recorded Occupancy Expense of $1.12 million in Q2 2026, up 8.3% from $1.03 million a year earlier but down 2.4% from the prior quarter.
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Analysis
Embassy Bancorp (EMYB) Occupancy Expense (2009 - 2026) Analysis & Trends
On a TTM basis, Embassy Bancorp's Occupancy Expense came in at $4.37 million as of Jun 30, 2026, up 3.8% year-over-year; for FY2025, it came in at $4.23 million, up 2.2% from FY2024.
- Annual Occupancy Expense has increased for five straight years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Across earlier years, Occupancy Expense came in at $4.14 million in FY2024 (+6.3%), $3.89 million in FY2023 (+3.7%), $3.76 million in FY2022 (+2.0%) and $3.68 million in FY2021 (+10.7%).
- Quarterly Occupancy Expense has ranged from $911,000 in Q3 2021 to $1.15 million in Q1 2026 over the past five years.
- On a year-over-year basis, Occupancy Expense rose in six of the last eight quarters, with growth averaging 4.5%.
- Peak year-over-year performance for Occupancy Expense in the last five years was growth of 11.9% in Q4 2021, against a decline of 3.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.15 million (Q1 2026), $1.04 million (Q4 2025) and $1.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Embassy Bancorp | 153.64 Mn | -858.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.11 Mn |
| Jun 30, 2026 | 1.12 Mn |
| Mar 31, 2026 | 1.15 Mn |
| Dec 31, 2025 | 1.04 Mn |
| Sep 30, 2025 | 1.06 Mn |
| Jun 30, 2025 | 1.03 Mn |
| Mar 31, 2025 | 1.09 Mn |
| Dec 31, 2024 | 1.09 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 1.04 Mn |
| Mar 31, 2024 | 1.02 Mn |
| Dec 31, 2023 | 979,000.00 |
| Sep 30, 2023 | 979,000.00 |
| Jun 30, 2023 | 949,000.00 |
| Mar 31, 2023 | 987,000.00 |
| Dec 31, 2022 | 936,000.00 |
| Sep 30, 2022 | 930,000.00 |
| Jun 30, 2022 | 928,000.00 |
| Mar 31, 2022 | 961,000.00 |
| Dec 31, 2021 | 950,000.00 |
API Access
Embassy Bancorp 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=EMYB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "EMYB", "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=EMYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();