Bioadaptives, Inc. (BDPT) Accumulated Expenses (2018 - 2026)
Bioadaptives' Accumulated Expenses came in at $238,609 for Q2 2026, up 25.5% from $190,167 a year earlier and up 3.1% from the prior quarter.
Analysis
Bioadaptives, Inc. (BDPT) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Bioadaptives' Accumulated Expenses was $215,973, up 25.9% from FY2024.
- Accumulated Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $171,507 in FY2024 (+24.3%), $137,955 in FY2023 (+36.7%), $100,919 in FY2022 (+818.0%) and $10,993 in FY2021 (-76.2%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2018.
- Year-over-year, Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 25.9% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2022 (growth of 818.0%), and the weakest in Q1 2023 (a decline of 98.6%).
- Business Quant data shows BDPT's Accumulated Expenses at $231,534 (Q1 2026), $215,973 (Q4 2025) and $203,997 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 238,609.00 |
| Mar 31, 2026 | 231,534.00 |
| Dec 31, 2025 | 215,973.00 |
| Sep 30, 2025 | 203,997.00 |
| Jun 30, 2025 | 190,167.00 |
| Mar 31, 2025 | 180,837.00 |
| Dec 31, 2024 | 171,507.00 |
| Sep 30, 2024 | 171,507.00 |
| Jun 30, 2024 | 152,847.00 |
| Mar 31, 2024 | 145,953.00 |
| Dec 31, 2023 | 137,955.00 |
| Sep 30, 2023 | 126,294.00 |
| Jun 30, 2023 | 1,419.00 |
| Mar 31, 2023 | 1,019.00 |
| Dec 31, 2022 | 100,919.00 |
| Sep 30, 2022 | 2,622.00 |
| Jun 30, 2022 | 3,146.00 |
| Mar 31, 2022 | 73,087.00 |
| Dec 31, 2021 | 10,993.00 |
| Sep 30, 2021 | 55,312.00 |
API Access
Bioadaptives, 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=BDPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BDPT", "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=BDPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();