BioCorRx (BICX) Change in Accured Expenses (2011 - 2026)
BioCorRx (BICX) posted Change in Accured Expenses of $253,990 for Q1 2026, compared with $16,333 a year earlier.
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Analysis
BioCorRx (BICX) Change in Accured Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Change in Accured Expenses at BioCorRx was $524,496, down 53.6% year-over-year; for FY2025, it was $286,839, down 80.1% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- In prior years, BioCorRx's Change in Accured Expenses was $1.44 million in FY2024 (+79.6%), $803,117 in FY2023 (-4.2%), $838,071 in FY2022 (+20.0%) and $698,631 in FY2021 (+44.4%).
- Quarterly Change in Accured Expenses has run from a low of -$1.53 million in Q4 2025 to a high of $934,022 in Q2 2025 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in four of the last five quarters, with growth averaging 94.3%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q1 2023, with growth of 527.6%; the weakest was Q1 2025, with a decline of 95.0%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$1.53 million (Q4 2025), $868,743 (Q3 2025) and $934,022 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | BioCorRx | 3.46 Mn | 2.80 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 253,990.00 |
| Dec 31, 2025 | -1.53 Mn |
| Sep 30, 2025 | 868,743.00 |
| Jun 30, 2025 | 934,022.00 |
| Mar 31, 2025 | 16,333.00 |
| Dec 31, 2024 | -6,106.00 |
| Sep 30, 2024 | 404,534.00 |
| Jun 30, 2024 | 716,136.00 |
| Mar 31, 2024 | 327,596.00 |
| Dec 31, 2023 | 205,612.00 |
| Sep 30, 2023 | 147,017.00 |
| Jun 30, 2023 | 206,786.00 |
| Mar 31, 2023 | 243,702.00 |
| Dec 31, 2022 | 163,767.00 |
| Sep 30, 2022 | 262,444.00 |
| Jun 30, 2022 | 373,028.00 |
| Mar 31, 2022 | 38,832.00 |
| Dec 31, 2021 | 307,991.00 |
| Sep 30, 2021 | 523,631.00 |
| Jun 30, 2021 | -402,386.00 |
API Access
BioCorRx 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=BICX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "BICX", "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=BICX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();