Bioregenx (BRGX) Change in Accured Expenses (2023 - 2026)
Bioregenx (BRGX) posted Change in Accured Expenses of $33718.0 for Q1 2026, down 37.29% on a QoQ basis from $53771.0 in Q4 2025, and down 45.24% year-over-year from $61571.0 in Q1 2025.
Bioregenx (BRGX) Change in Accured Expenses (2023 - 2026) Analysis & Trends
Bioregenx has reported Change in Accured Expenses for 4 years, with the latest figure at $33718.0 in Q1 2026.
- On a quarterly basis, Change in Accured Expenses fell 45.24% year-over-year to $33718.0 in Q1 2026; TTM through Mar 2026 was -$46443.0, a 128.67% decrease from a year earlier, with the FY2025 full-year figure at -$18590.0, down 131.15% from the prior year.
- Change in Accured Expenses was $33718.0 for Q1 2026 at Bioregenx, down from $53771.0 in the prior quarter.
- The five-year high for Change in Accured Expenses was $94924.0 in Q2 2023, with the low at -$136984.0 in Q4 2023.
- Average Change in Accured Expenses over 4 years is $6303.3, with a median of $29604.0 recorded in 2023.
- The largest YoY upside for Change in Accured Expenses was 251.04% in 2025 against a maximum downside of 406.31% in 2025.
- Over 4 years, Change in Accured Expenses stood at -$136984.0 in 2023, then jumped by 126.58% to $36410.0 in 2024, then surged by 47.68% to $53771.0 in 2025, then sank by 37.29% to $33718.0 in 2026.
- The last three Change in Accured Expenses figures came in at $33718.0 (Q1 2026), $53771.0 (Q4 2025), and -$24896.0 (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Accured Expenses (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 | 55.00 Mn |
| 3 | Medtronic | 118.01 Bn | 109.81 Bn | 6.34 Bn | -531.00 Mn |
| 4 | Stryker | 105.44 Bn | 101.96 Bn | 4.50 Bn | 298.00 Mn |
| 5 | Boston Scientific | 62.90 Bn | 62.60 Bn | 3.85 Bn | 234.00 Mn |
| 6 | Edwards Lifesciences | 50.87 Bn | 46.72 Bn | 1.35 Bn | 123.70 Mn |
| 7 | Dexcom | 33.72 Bn | 31.77 Bn | 830.00 Mn | 112.90 Mn |
| 8 | Resmed | 32.45 Bn | 30.98 Bn | 861.22 Mn | 50.56 Mn |
| 9 | Alcon | 31.70 Bn | 30.25 Bn | 1.68 Bn | -74.00 Mn |
| 10 | Bioregenx | 9.72 Mn | 9.67 Mn | 348,288.00 | 33,718.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 33,718.00 |
| Dec 31, 2025 | 53,771.00 |
| Sep 30, 2025 | -24,896.00 |
| Jun 30, 2025 | -109,036.00 |
| Mar 31, 2025 | 61,571.00 |
| Dec 31, 2024 | 36,410.00 |
| Sep 30, 2024 | 28,440.00 |
| Jun 30, 2024 | 35,597.00 |
| Mar 31, 2024 | -40,764.00 |
| Dec 31, 2023 | -136,984.00 |
| Sep 30, 2023 | 19,588.00 |
| Jun 30, 2023 | 94,924.00 |
| Mar 31, 2023 | 29,604.00 |
Bioregenx Change in Accured 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=change-in-accured-expenses&ticker=BRGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BRGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();