Bubblr Inc. (BBLR) Accumulated Expenses (2021 - 2026)
Bubblr's Accumulated Expenses came in at $1.31 million for Q2 2026, down 27.8% from $1.81 million a year earlier but up 6.0% from the prior quarter.
Analysis
Bubblr Inc. (BBLR) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Bubblr's Accumulated Expenses was $1.23 million, up 6.4% from FY2024.
- Accumulated Expenses carries a four-year compound annual growth rate of 175.5% (FY2021 to FY2025).
- Going back by year, Accumulated Expenses was $1.16 million in FY2024 (+22.9%), $943,007 in FY2023, $50,094 in FY2022 (+133.9%) and $21,415 in FY2021.
- The five-year range for quarterly Accumulated Expenses is $21,415 (Q4 2021) to $1.89 million (Q3 2025).
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 13.6%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2022 (growth of 133.9%), and the weakest in Q1 2026 (a decline of 31.9%).
- Business Quant data shows BBLR's Accumulated Expenses at $1.23 million (Q1 2026), $1.23 million (Q4 2025) and $1.89 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.31 Mn |
| Mar 31, 2026 | 1.23 Mn |
| Dec 31, 2025 | 1.23 Mn |
| Sep 30, 2025 | 1.89 Mn |
| Jun 30, 2025 | 1.81 Mn |
| Mar 31, 2025 | 1.81 Mn |
| Dec 31, 2024 | 1.16 Mn |
| Sep 30, 2024 | 1.61 Mn |
| Jun 30, 2024 | 1.33 Mn |
| Mar 31, 2024 | 1.11 Mn |
| Dec 31, 2023 | 943,007.00 |
| Sep 30, 2023 | 1.32 Mn |
| Jun 30, 2023 | 834,373.00 |
| Mar 31, 2023 | 96,331.00 |
| Dec 31, 2022 | 50,094.00 |
| Dec 31, 2021 | 21,415.00 |
API Access
Bubblr Inc. 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=BBLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BBLR", "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=BBLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();