Bluejay Diagnostics (BJDX) Prepaid Assets (2020 - 2026)
Bluejay Diagnostics' Prepaid Assets was $202,971 in Q2 2026, down 33.6% from $305,478 a year earlier and down 24.8% from the prior quarter.
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Analysis
Bluejay Diagnostics (BJDX) Prepaid Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Prepaid Assets at Bluejay Diagnostics came in at $275,957, down 53.8% from FY2024.
- Prepaid Assets has now declined for three consecutive years, though with a five-year compound annual growth rate of 35.2% (FY2020 to FY2025).
- In earlier years, Prepaid Assets was $596,938 in FY2024 (-20.1%), $747,263 in FY2023 (-55.3%), $1.67 million in FY2022 (+3.8%) and $1.61 million in FY2021.
- Quarterly Prepaid Assets has moved between $169,421 (Q3 2025) and $2.12 million (Q1 2023) over five years.
- Compared with a year earlier, Prepaid Assets has declined for 11 straight quarters, with an average decline of 47.7% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was Q3 2023 (growth of 124.3%); the worst was Q3 2025 (a decline of 79.1%).
- Per Business Quant data, BJDX's Prepaid Assets in the three quarters before Q2 2026 was $269,938 (Q1 2026), $275,957 (Q4 2025) and $169,421 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Bluejay Diagnostics | 1.69 Mn | 1.69 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 202,971.00 |
| Mar 31, 2026 | 269,938.00 |
| Dec 31, 2025 | 275,957.00 |
| Sep 30, 2025 | 169,421.00 |
| Jun 30, 2025 | 305,478.00 |
| Mar 31, 2025 | 456,079.00 |
| Dec 31, 2024 | 596,938.00 |
| Sep 30, 2024 | 811,945.00 |
| Jun 30, 2024 | 959,993.00 |
| Mar 31, 2024 | 788,578.00 |
| Dec 31, 2023 | 747,263.00 |
| Sep 30, 2023 | 1.45 Mn |
| Jun 30, 2023 | 1.48 Mn |
| Mar 31, 2023 | 2.12 Mn |
| Dec 31, 2022 | 1.67 Mn |
| Sep 30, 2022 | 646,894.00 |
| Jun 30, 2022 | 1.04 Mn |
| Mar 31, 2022 | 1.30 Mn |
| Dec 31, 2021 | 1.61 Mn |
| Sep 30, 2021 | 451,407.00 |
API Access
Bluejay Diagnostics Prepaid 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=prepaid-assets&ticker=BJDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=BJDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();