Bluejay Diagnostics (BJDX) Accounts Payables (2020 - 2026)
Bluejay Diagnostics' Accounts Payables came in at $1.37 million for Q2 2026, up 64.5% from $832,244 a year earlier and up 24.9% from the prior quarter.
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Analysis
Bluejay Diagnostics (BJDX) Accounts Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, Bluejay Diagnostics' Accounts Payables was $804,942, up 454.7% from FY2024.
- Accounts Payables carries a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $145,122 in FY2024 (-70.5%), $491,474 in FY2023 (-22.7%), $635,818 in FY2022 (+115.0%) and $295,778 in FY2021 (-21.1%).
- The Q2 2026 figure represents the highest quarterly Accounts Payables since Q3 2023.
- Year-over-year, Accounts Payables has increased for four consecutive quarters, with growth averaging 75.4% over the last eight quarters.
- The fastest year-over-year change in Accounts Payables over five years came in Q4 2025 (growth of 454.7%), and the weakest in Q4 2024 (a decline of 70.5%).
- Business Quant data shows BJDX's Accounts Payables at $1.1 million (Q1 2026), $804,942 (Q4 2025) and $887,749 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Bluejay Diagnostics | 1.69 Mn | 1.69 Mn | - | 1.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.37 Mn |
| Mar 31, 2026 | 1.10 Mn |
| Dec 31, 2025 | 804,942.00 |
| Sep 30, 2025 | 887,749.00 |
| Jun 30, 2025 | 832,244.00 |
| Mar 31, 2025 | 697,151.00 |
| Dec 31, 2024 | 145,122.00 |
| Sep 30, 2024 | 621,144.00 |
| Jun 30, 2024 | 1.29 Mn |
| Mar 31, 2024 | 271,825.00 |
| Dec 31, 2023 | 491,474.00 |
| Sep 30, 2023 | 1.88 Mn |
| Jun 30, 2023 | 271,488.00 |
| Mar 31, 2023 | 388,045.00 |
| Dec 31, 2022 | 635,818.00 |
| Sep 30, 2022 | 443,035.00 |
| Jun 30, 2022 | 196,108.00 |
| Mar 31, 2022 | 716,836.00 |
| Dec 31, 2021 | 295,778.00 |
| Sep 30, 2021 | 242,856.00 |
API Access
Bluejay Diagnostics Accounts Payables 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=accounts-payables&ticker=BJDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "ticker": "BJDX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accounts-payables&ticker=BJDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();