Bluejay Diagnostics (BJDX) Total Current Liabilities (2021 - 2026)
Bluejay Diagnostics (BJDX) recorded Total Current Liabilities of $2.12 million in Q2 2026, up 103.3% from $1.04 million a year earlier and up 49.7% from the prior quarter.
Bluejay Diagnostics (BJDX) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Bluejay Diagnostics reported Total Current Liabilities of $1.12 million, up 38.1% from FY2024.
- Annual Total Current Liabilities has a four-year compound annual growth rate of 15.1% (FY2021 to FY2025).
- Across earlier years, Total Current Liabilities came in at $810,368 in FY2024 (-54.3%), $1.77 million in FY2023 (+8.0%), $1.64 million in FY2022 (+157.4%) and $637,162 in FY2021.
- The Q2 2026 figure is the highest quarterly Total Current Liabilities since Q3 2023.
- On a year-over-year basis, Total Current Liabilities has increased for four consecutive quarters, with an average decline of 2.7% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 157.4% in Q4 2022, against a decline of 62.5% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.41 million (Q1 2026), $1.12 million (Q4 2025) and $1.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Bluejay Diagnostics | 1.40 Mn | -20.13 Mn | - | 2.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.12 Mn |
| Mar 31, 2026 | 1.41 Mn |
| Dec 31, 2025 | 1.12 Mn |
| Sep 30, 2025 | 1.15 Mn |
| Jun 30, 2025 | 1.04 Mn |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 810,368.00 |
| Sep 30, 2024 | 1.05 Mn |
| Jun 30, 2024 | 2.06 Mn |
| Mar 31, 2024 | 1.53 Mn |
| Dec 31, 2023 | 1.77 Mn |
| Sep 30, 2023 | 2.80 Mn |
| Jun 30, 2023 | 1.83 Mn |
| Mar 31, 2023 | 1.42 Mn |
| Dec 31, 2022 | 1.64 Mn |
| Sep 30, 2022 | 1.52 Mn |
| Jun 30, 2022 | 979,590.00 |
| Mar 31, 2022 | 1.31 Mn |
| Dec 31, 2021 | 637,162.00 |
Bluejay Diagnostics Total Current Liabilities 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=total-current-liabilities&ticker=BJDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=BJDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();