Givbux (GBUX) Accumulated Expenses (2022 - 2025)
Givbux's Accumulated Expenses came in at $872,904 for Q4 2025, up 14.9% from $759,789 a year earlier and up 24.2% from the prior quarter.
Analysis
Givbux (GBUX) Accumulated Expenses (2022 - 2025) Analysis & Trends
Going back to Q4 2022, Givbux's Accumulated Expenses data covers 6 quarters.
- Accumulated Expenses has increased in each of the last three years, with a three-year compound annual growth rate of 37.6% (FY2022 to FY2025).
- Going back by year, Accumulated Expenses was $759,789 in FY2024 (+107.9%), $365,486 in FY2023 (+9.0%) and $335,377 in FY2022.
- The Q4 2025 figure represents the highest quarterly Accumulated Expenses since Q3 2024.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 872,904.00 |
| Sep 30, 2025 | 702,844.00 |
| Jun 30, 2025 | 724,024.00 |
| Mar 31, 2025 | 871,875.00 |
| Dec 31, 2024 | 759,789.00 |
| Sep 30, 2024 | 954,113.00 |
| Dec 31, 2023 | 365,486.00 |
| Dec 31, 2022 | 335,377.00 |
API Access
Givbux 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=GBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "GBUX", "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=GBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();