Glen Burnie Bancorp (GLBZ) Accumulated Expenses (2016 - 2025)
Glen Burnie Bancorp's Accumulated Expenses came in at $1.66 million for Q3 2025, down 36.3% from $2.6 million a year earlier but up 46.2% from the prior quarter.
Glen Burnie Bancorp (GLBZ) Accumulated Expenses (2016 - 2025) Analysis & Trends
At the end of FY2024, Glen Burnie Bancorp's Accumulated Expenses was $1.62 million, down 22.7% from FY2023.
- Accumulated Expenses carries a five-year compound annual growth rate of -8.3% (FY2019 to FY2024).
- Going back by year, Accumulated Expenses was $2.1 million in FY2023 (+6.6%), $1.97 million in FY2022 (-29.7%), $2.8 million in FY2021 (+8.7%) and $2.58 million in FY2020 (+2.8%).
- The five-year range for quarterly Accumulated Expenses is $1.13 million (Q2 2025) to $3.04 million (Q3 2021).
- Year-over-year, Accumulated Expenses has declined for four consecutive quarters, with an average decline of 10.4% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2024 (growth of 27.3%), and the weakest in Q1 2025 (a decline of 45.2%).
- Business Quant data shows GLBZ's Accumulated Expenses at $1.13 million (Q2 2025), $1.2 million (Q1 2025) and $1.62 million (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.66 Mn |
| Jun 30, 2025 | 1.13 Mn |
| Mar 31, 2025 | 1.20 Mn |
| Dec 31, 2024 | 1.62 Mn |
| Sep 30, 2024 | 2.60 Mn |
| Jun 30, 2024 | 2.05 Mn |
| Mar 31, 2024 | 2.18 Mn |
| Dec 31, 2023 | 2.10 Mn |
| Sep 30, 2023 | 2.04 Mn |
| Jun 30, 2023 | 1.80 Mn |
| Mar 31, 2023 | 1.85 Mn |
| Dec 31, 2022 | 1.97 Mn |
| Sep 30, 2022 | 2.09 Mn |
| Jun 30, 2022 | 2.05 Mn |
| Mar 31, 2022 | 2.08 Mn |
| Dec 31, 2021 | 2.80 Mn |
| Sep 30, 2021 | 3.04 Mn |
| Jun 30, 2021 | 2.96 Mn |
| Mar 31, 2021 | 2.79 Mn |
| Dec 31, 2020 | 2.58 Mn |
Glen Burnie Bancorp Accumulated 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=accumulated-expenses&ticker=GLBZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "GLBZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=GLBZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();