Bioregenx (BRGX) Accumulated Expenses (2021 - 2026)
Bioregenx (BRGX) posted Accumulated Expenses of $386754.0 for Q1 2026, down 10.96% on a QoQ basis from $434370.0 in Q4 2025, and down 24.83% year-over-year from $514531.0 in Q1 2025.
Bioregenx (BRGX) Accumulated Expenses (2021 - 2026) Analysis & Trends
Bioregenx has reported Accumulated Expenses for 6 years, with the latest figure at $386754.0 in Q1 2026.
- On a quarterly basis, Accumulated Expenses fell 24.83% year-over-year to $386754.0 in Q1 2026; TTM through Mar 2026 was $386754.0, a 24.83% decrease from a year earlier, with the FY2025 full-year figure at $434370.0, down 4.1% from the prior year.
- Accumulated Expenses was $386754.0 for Q1 2026 at Bioregenx, down from $434370.0 in the prior quarter.
- The five-year high for Accumulated Expenses was $514531.0 in Q1 2025, with the low at $19721.0 in Q4 2022.
- Average Accumulated Expenses over 5 years is $300145.1, with a median of $383676.5 recorded in 2025.
- The sharpest annual moves came in 2023 and 2026: Accumulated Expenses jumped 1657.91% in 2023, then slipped 24.83% in 2026.
- Over 5 years, Accumulated Expenses stood at $19721.0 in 2022, then surged by 1657.91% to $346677.0 in 2023, then soared by 30.66% to $452960.0 in 2024, then decreased by 4.1% to $434370.0 in 2025, then slipped by 10.96% to $386754.0 in 2026.
- The last three Accumulated Expenses figures came in at $386754.0 (Q1 2026), $434370.0 (Q4 2025), and $380599.0 (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Abbott Laboratories | 177.43 Bn | 172.48 Bn | 7.27 Bn |
| 2 | Intuitive Surgical | 139.20 Bn | 134.11 Bn | 1.96 Bn |
| 3 | Medtronic | 118.01 Bn | 109.81 Bn | 6.34 Bn |
| 4 | Stryker | 105.44 Bn | 101.96 Bn | 4.50 Bn |
| 5 | Boston Scientific | 62.90 Bn | 62.60 Bn | 3.85 Bn |
| 6 | Edwards Lifesciences | 50.87 Bn | 46.72 Bn | 1.35 Bn |
| 7 | Dexcom | 33.72 Bn | 31.77 Bn | 830.00 Mn |
| 8 | Resmed | 32.45 Bn | 30.98 Bn | 861.22 Mn |
| 9 | Alcon | 31.70 Bn | 30.25 Bn | 1.68 Bn |
| 10 | Bioregenx | 9.72 Mn | 9.67 Mn | 348,288.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 386,754.00 |
| Dec 31, 2025 | 434,370.00 |
| Sep 30, 2025 | 380,599.00 |
| Jun 30, 2025 | 405,495.00 |
| Mar 31, 2025 | 514,531.00 |
| Dec 31, 2024 | 452,960.00 |
| Sep 30, 2024 | 426,725.00 |
| Jun 30, 2024 | 398,058.00 |
| Mar 31, 2024 | 362,687.00 |
| Dec 31, 2023 | 346,677.00 |
| Sep 30, 2023 | 26,144.00 |
| Jun 30, 2023 | 24,978.00 |
| Mar 31, 2023 | 22,333.00 |
| Dec 31, 2022 | 19,721.00 |
| Dec 31, 2021 | 11,996.00 |
Bioregenx 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=BRGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BRGX", "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=BRGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();