Biotricity (BTCY) Receivables (2018 - 2026)
Biotricity (BTCY) posted Receivables of $4.17 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 124.3% from $1.86 million a year earlier but down 13.8% from the prior quarter.
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Analysis
Biotricity (BTCY) Receivables (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Biotricity's Receivables came in at $4.84 million, up 61.1% from FY2025.
- Annual Receivables has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 26.1% (FY2021 to FY2026).
- In prior fiscal years, Biotricity's Receivables was $3.01 million in FY2025 (+104.7%), $1.47 million in FY2024 (+20.0%), $1.22 million in FY2023 (-39.0%) and $2.01 million in FY2022 (+31.9%).
- Quarterly Receivables has run from a low of $1.22 million in fiscal Q4 2023 to a high of $4.84 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last six quarters, with growth averaging 44.0% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q1 2027, with growth of 124.3%; the weakest was fiscal Q4 2023, with a decline of 39.0%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $4.84 million (Q4 2026), $1.58 million (Q3 2026) and $2.1 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 11.32 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 9.03 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 4.13 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 1.72 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 3.69 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 3.11 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 937.80 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 3.79 Bn |
| 10 | Biotricity | 1.20 Mn | 23,371.47 | 3.53 Mn | 4.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.17 Mn |
| Mar 31, 2026 | 4.84 Mn |
| Dec 31, 2025 | 2.75 Mn |
| Sep 30, 2025 | 2.97 Mn |
| Jun 30, 2025 | 2.97 Mn |
| Mar 31, 2025 | 3.01 Mn |
| Dec 31, 2024 | 2.78 Mn |
| Sep 30, 2024 | 2.07 Mn |
| Jun 30, 2024 | 2.08 Mn |
| Mar 31, 2024 | 1.81 Mn |
| Dec 31, 2023 | 1.80 Mn |
| Sep 30, 2023 | 1.85 Mn |
| Jun 30, 2023 | 2.13 Mn |
| Mar 31, 2023 | 1.81 Mn |
| Dec 31, 2022 | 2.41 Mn |
| Sep 30, 2022 | 2.40 Mn |
| Jun 30, 2022 | 2.21 Mn |
| Mar 31, 2022 | 2.41 Mn |
| Dec 31, 2021 | 2.46 Mn |
| Sep 30, 2021 | 2.13 Mn |
API Access
Biotricity Receivables 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=receivables&ticker=BTCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BTCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();