Bioregenx (BRGX) Operating Expenses (2022 - 2026)
Bioregenx (BRGX) posted Operating Expenses of $398052.0 for Q1 2026, down 68.27% on a QoQ basis from $1.3 million in Q4 2025, and down 33.51% year-over-year from $598646.0 in Q1 2025.
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Analysis
Bioregenx (BRGX) Operating Expenses (2022 - 2026) Analysis & Trends
Bioregenx has reported Operating Expenses for 5 years, with the latest figure at $398052.0 in Q1 2026.
- On a quarterly basis, Operating Expenses fell 33.51% year-over-year to $398052.0 in Q1 2026; TTM through Mar 2026 was $2.5 million, a 88.18% decrease from a year earlier, with the FY2025 full-year figure at $2.7 million, down 88.75% from the prior year.
- Operating Expenses was $398052.0 for Q1 2026 at Bioregenx, down from $1.3 million in the prior quarter.
- The five-year high for Operating Expenses was $18.6 million in Q4 2024, with the low at $13474.0 in Q3 2022.
- Average Operating Expenses over 5 years is $2.0 million, with a median of $598646.0 recorded in 2025.
- The sharpest annual moves came in 2023 and 2025: Operating Expenses soared 22460.15% in 2023, then tumbled 93.27% in 2025.
- Over 5 years, Operating Expenses stood at $14449.0 in 2022, then jumped by 3980.42% to $589580.0 in 2023, then surged by 3061.5% to $18.6 million in 2024, then sank by 93.27% to $1.3 million in 2025, then sank by 68.27% to $398052.0 in 2026.
- The last three Operating Expenses figures came in at $398052.0 (Q1 2026), $1.3 million (Q4 2025), and $434856.0 (Q3 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Abbott Laboratories | 177.43 Bn | 172.48 Bn | 7.27 Bn | 10.90 Bn |
| 2 | Intuitive Surgical | 139.20 Bn | 134.11 Bn | 1.96 Bn | 988.50 Mn |
| 3 | Medtronic | 118.01 Bn | 109.81 Bn | 6.34 Bn | 3.97 Bn |
| 4 | Stryker | 105.44 Bn | 101.96 Bn | 4.50 Bn | 2.84 Bn |
| 5 | Boston Scientific | 62.90 Bn | 62.60 Bn | 3.85 Bn | 2.67 Bn |
| 6 | Edwards Lifesciences | 50.87 Bn | 46.72 Bn | 1.35 Bn | 846.40 Mn |
| 7 | Dexcom | 33.72 Bn | 31.77 Bn | 830.00 Mn | 511.70 Mn |
| 8 | Resmed | 32.45 Bn | 30.98 Bn | 861.22 Mn | 412.51 Mn |
| 9 | Alcon | 31.70 Bn | 30.25 Bn | 1.68 Bn | -1.63 Bn |
| 10 | Bioregenx | 9.72 Mn | 9.67 Mn | 348,288.00 | 398,052.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 398,052.00 |
| Dec 31, 2025 | 1.25 Mn |
| Sep 30, 2025 | 434,856.00 |
| Jun 30, 2025 | 459,715.00 |
| Mar 31, 2025 | 598,646.00 |
| Dec 31, 2024 | 18.64 Mn |
| Sep 30, 2024 | 808,955.00 |
| Jun 30, 2024 | 1.51 Mn |
| Mar 31, 2024 | 3.46 Mn |
| Dec 31, 2023 | 589,580.00 |
| Sep 30, 2023 | 3.04 Mn |
| Jun 30, 2023 | 1.14 Mn |
| Mar 31, 2023 | 947,997.00 |
| Dec 31, 2022 | 14,449.00 |
| Sep 30, 2022 | 13,474.00 |
| Jun 30, 2022 | 47,521.00 |
| Mar 31, 2022 | 45,023.00 |
API Access
Bioregenx 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=BRGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BRGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();