Bioadaptives, Inc. (BDPT) Operating Expenses (2013 - 2026)
Bioadaptives' Operating Expenses came in at $201,416 for Q2 2026, down 28.1% from $280,282 a year earlier and down 0.5% from the prior quarter.
Bioadaptives, Inc. (BDPT) Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bioadaptives reported Operating Expenses of $928,987, down 6.0% year-over-year; for FY2025, it came in at $1.05 million, up 74.0% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 32.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $606,120 in FY2024 (+152.8%), $239,740 in FY2023 (-44.1%), $429,026 in FY2022 (-33.6%) and $646,186 in FY2021 (+148.1%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2024.
- Year-over-year, Operating Expenses has declined for three consecutive quarters, with growth averaging 133.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 820.6%), and the weakest in Q1 2023 (a decline of 88.1%).
- Business Quant data shows BDPT's Operating Expenses at $202,331 (Q1 2026), $255,700 (Q4 2025) and $269,540 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 201,416.00 |
| Mar 31, 2026 | 202,331.00 |
| Dec 31, 2025 | 255,700.00 |
| Sep 30, 2025 | 269,540.00 |
| Jun 30, 2025 | 280,282.00 |
| Mar 31, 2025 | 249,148.00 |
| Dec 31, 2024 | 337,339.00 |
| Sep 30, 2024 | 121,941.00 |
| Jun 30, 2024 | 93,407.00 |
| Mar 31, 2024 | 53,433.00 |
| Dec 31, 2023 | 64,483.00 |
| Sep 30, 2023 | 96,863.00 |
| Jun 30, 2023 | 57,439.00 |
| Mar 31, 2023 | 20,955.00 |
| Dec 31, 2022 | 28,332.00 |
| Sep 30, 2022 | 79,045.00 |
| Jun 30, 2022 | 145,450.00 |
| Mar 31, 2022 | 176,199.00 |
| Dec 31, 2021 | 178,876.00 |
| Sep 30, 2021 | 175,968.00 |
Bioadaptives, Inc. Operating 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=operating-expenses&ticker=BDPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BDPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();