Bluejay Diagnostics (BJDX) Inventory (2020 - 2025)
Bluejay Diagnostics' Inventory came in at $600.00 for Q3 2025, down 99.7% from $193,708 a year earlier and unchanged from the prior quarter.
Analysis
Bluejay Diagnostics (BJDX) Inventory (2020 - 2025) Analysis & Trends
At the end of FY2024, Bluejay Diagnostics' Inventory was $21,946, down 96.1% from FY2023.
- Inventory carries a four-year compound annual growth rate of -28.7% (FY2020 to FY2024).
- Going back by year, Inventory was $558,959 in FY2023 (-17.9%), $681,218 in FY2022 (+325.8%), $160,000 in FY2021 (+88.8%) and $84,762 in FY2020.
- The five-year range for quarterly Inventory is $600.00 (Q2 2025) to $893,174 (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Bluejay Diagnostics | 1.86 Mn | 1.86 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 600.00 |
| Jun 30, 2025 | 600.00 |
| Dec 31, 2024 | 21,946.00 |
| Sep 30, 2024 | 193,708.00 |
| Dec 31, 2023 | 558,959.00 |
| Dec 31, 2022 | 681,218.00 |
| Jun 30, 2022 | 671,250.00 |
| Mar 31, 2022 | 893,174.00 |
| Dec 31, 2021 | 160,000.00 |
| Dec 31, 2020 | 84,762.00 |
API Access
Bluejay Diagnostics Inventory 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=inventory&ticker=BJDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BJDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();