Biotricity (BTCY) Change in Accured Expenses (2014 - 2026)
Biotricity (BTCY) reported Change in Accured Expenses of $80,348 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 83.7% from $492,532 a year earlier and down 53.5% from the prior quarter.
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Analysis
Biotricity (BTCY) Change in Accured Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Biotricity's Change in Accured Expenses came in at -$217,114; for FY2026 (ended Mar 31, 2026), it was $195,070, down 87.0% from FY2025.
- Change in Accured Expenses has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -23.7% (FY2021 to FY2026).
- By fiscal year, Change in Accured Expenses came in at $1.5 million in FY2025 (-54.2%), $3.27 million in FY2024 (-2.1%), $3.34 million in FY2023 (+252.1%) and $948,997 in FY2022 (+26.1%).
- Five-year quarterly Change in Accured Expenses spans a low of -$652,717 in fiscal Q4 2025 and a high of $1.89 million in fiscal Q4 2024.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 27.4%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q3 2025 (growth of 260.0%); the low point was fiscal Q3 2026 (a decline of 85.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $172,776 (Q4 2026), $167,767 (Q3 2026) and -$638,005 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Biotricity | 1.00 Mn | -177,375.24 | 3.53 Mn | 80,348.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80,348.00 |
| Mar 31, 2026 | 172,776.00 |
| Dec 31, 2025 | 167,767.00 |
| Sep 30, 2025 | -638,005.00 |
| Jun 30, 2025 | 492,532.00 |
| Mar 31, 2025 | -652,717.00 |
| Dec 31, 2024 | 1.14 Mn |
| Sep 30, 2024 | 597,376.00 |
| Jun 30, 2024 | 415,319.00 |
| Mar 31, 2024 | 1.89 Mn |
| Dec 31, 2023 | 315,809.00 |
| Sep 30, 2023 | -9,872.00 |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | 1.41 Mn |
| Dec 31, 2022 | 920,512.00 |
| Sep 30, 2022 | 443,484.00 |
| Jun 30, 2022 | 567,200.00 |
| Mar 31, 2022 | -355,508.00 |
| Dec 31, 2021 | 426,760.00 |
| Sep 30, 2021 | 477,808.00 |
API Access
Biotricity 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=BTCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "BTCY", "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=BTCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();