Bluejay Diagnostics (BJDX) Non-Current Assets (2020 - 2026)
Bluejay Diagnostics' Non-Current Assets came in at $1.72 million for Q2 2026, up 3.9% from $1.65 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Bluejay Diagnostics (BJDX) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Bluejay Diagnostics' Non-Current Assets was $1.66 million, down 5.9% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 29.2% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $1.76 million in FY2024 (+6.7%), $1.65 million in FY2023 (-4.9%), $1.73 million in FY2022 (+383.5%) and $358,385 in FY2021 (-21.9%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets since Q4 2024.
- Year-over-year, Non-Current Assets increased in four of the last eight quarters, with an average decline of 1.8%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2022 (growth of 393.1%), and the weakest in Q4 2021 (a decline of 21.9%).
- Business Quant data shows BJDX's Non-Current Assets at $1.63 million (Q1 2026), $1.66 million (Q4 2025) and $1.54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.28 Bn | 237.31 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 173.71 Bn | 144.14 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 163.84 Bn | 147.65 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 152.56 Bn | 131.99 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 118.97 Bn | 84.23 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 113.79 Bn | 99.90 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 65.13 Bn | 59.90 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 53.41 Bn | 50.56 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.84 Bn | 34.85 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Bluejay Diagnostics | 1.43 Mn | -20.10 Mn | - | 1.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.72 Mn |
| Mar 31, 2026 | 1.63 Mn |
| Dec 31, 2025 | 1.66 Mn |
| Sep 30, 2025 | 1.54 Mn |
| Jun 30, 2025 | 1.65 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 1.76 Mn |
| Sep 30, 2024 | 1.79 Mn |
| Jun 30, 2024 | 1.84 Mn |
| Mar 31, 2024 | 1.63 Mn |
| Dec 31, 2023 | 1.65 Mn |
| Sep 30, 2023 | 1.72 Mn |
| Jun 30, 2023 | 1.90 Mn |
| Mar 31, 2023 | 1.99 Mn |
| Dec 31, 2022 | 1.73 Mn |
| Sep 30, 2022 | 1.77 Mn |
| Jun 30, 2022 | 1.02 Mn |
| Mar 31, 2022 | 760,675.00 |
| Dec 31, 2021 | 358,385.00 |
| Sep 30, 2021 | 358,845.00 |
API Access
Bluejay Diagnostics Non-Current Assets 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=non-current-assets&ticker=BJDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BJDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();