Bioregenx (BRGX) Net Cash Flow (2022 - 2026)
Bioregenx (BRGX) posted Net Cash Flow of -$23577.0 for Q1 2026, down 205.09% on a QoQ basis from $22436.0 in Q4 2025, and down 186.43% year-over-year from $27280.0 in Q1 2025.
Bioregenx (BRGX) Net Cash Flow (2022 - 2026) Analysis & Trends
Bioregenx has reported Net Cash Flow for 5 years, with the latest figure at -$23577.0 in Q1 2026.
- On a quarterly basis, Net Cash Flow fell 186.43% year-over-year to -$23577.0 in Q1 2026; TTM through Mar 2026 was -$37844.0, a 24.45% decrease from a year earlier, with the FY2025 full-year figure at $13013.0, up 118.6% from the prior year.
- Net Cash Flow was -$23577.0 for Q1 2026 at Bioregenx, down from $22436.0 in the prior quarter.
- The five-year high for Net Cash Flow was $68381.0 in Q4 2023, with the low at -$239056.0 in Q2 2023.
- Average Net Cash Flow over 5 years is -$36135.5, with a median of -$12285.0 recorded in 2024.
- The largest YoY upside for Net Cash Flow was 8005.32% in 2023 against a maximum downside of 28655.33% in 2023.
- Over 5 years, Net Cash Flow stood at -$865.0 in 2022, then surged by 8005.32% to $68381.0 in 2023, then plunged by 122.89% to -$15653.0 in 2024, then jumped by 243.33% to $22436.0 in 2025, then slumped by 205.09% to -$23577.0 in 2026.
- The last three Net Cash Flow figures came in at -$23577.0 (Q1 2026), $22436.0 (Q4 2025), and -$6731.0 (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Abbott Laboratories | 179.49 Bn | 174.54 Bn | 7.27 Bn | -1.70 Bn |
| 2 | Intuitive Surgical | 142.30 Bn | 137.21 Bn | 1.96 Bn | 746.50 Mn |
| 3 | Medtronic | 116.24 Bn | 108.04 Bn | 6.34 Bn | -169.00 Mn |
| 4 | Stryker | 105.51 Bn | 102.03 Bn | 4.50 Bn | 527.00 Mn |
| 5 | Boston Scientific | 65.13 Bn | 64.83 Bn | 3.85 Bn | -892.00 Mn |
| 6 | Edwards Lifesciences | 51.20 Bn | 47.05 Bn | 1.35 Bn | 458.40 Mn |
| 7 | Dexcom | 33.79 Bn | 31.84 Bn | 830.00 Mn | -8.30 Mn |
| 8 | Resmed | 32.01 Bn | 30.54 Bn | 861.22 Mn | -192.18 Mn |
| 9 | Alcon | 31.98 Bn | 30.52 Bn | 1.68 Bn | -222.00 Mn |
| 10 | Bioregenx | 9.72 Mn | 9.67 Mn | 348,288.00 | -23,577.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -23,577.00 |
| Dec 31, 2025 | 22,436.00 |
| Sep 30, 2025 | -6,731.00 |
| Jun 30, 2025 | -29,972.00 |
| Mar 31, 2025 | 27,280.00 |
| Dec 31, 2024 | -15,653.00 |
| Sep 30, 2024 | 15,246.00 |
| Jun 30, 2024 | -57,282.00 |
| Mar 31, 2024 | -12,285.00 |
| Dec 31, 2023 | 68,381.00 |
| Sep 30, 2023 | -167,356.00 |
| Jun 30, 2023 | -239,056.00 |
| Mar 31, 2023 | -172,053.00 |
| Dec 31, 2022 | -865.00 |
| Sep 30, 2022 | -582.00 |
| Jun 30, 2022 | -1,315.00 |
| Mar 31, 2022 | -20,920.00 |
Bioregenx Net Cash Flow 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=net-cash-flow&ticker=BRGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=BRGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();