Bluejay Diagnostics (BJDX) Change in Accured Expenses (2021 - 2026)
Bluejay Diagnostics' Change in Accured Expenses was $248,921 in Q2 2026, up 120.1% from $113,097 a year earlier but down 7.3% from the prior quarter.
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Analysis
Bluejay Diagnostics (BJDX) Change in Accured Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bluejay Diagnostics' Change in Accured Expenses was $444,930 through Jun 30, 2026; for FY2025, it was $150,918.
- Change in Accured Expenses shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was -$695,653 in FY2024, -$30,279 in FY2023, $336,620 in FY2022 (+64.3%) and $204,839 in FY2021 (+34.0%).
- Quarterly Change in Accured Expenses has moved between -$967,215 (Q4 2023) and $487,141 (Q2 2023) over five years.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2023 (growth of 253.7%); the worst was Q2 2024 (a decline of 70.1%).
- Per Business Quant data, BJDX's Change in Accured Expenses in the three quarters before Q2 2026 was $268,478 (Q1 2026), -$105,588 (Q4 2025) and $33,119 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Bluejay Diagnostics | 1.67 Mn | 1.67 Mn | - | 248,921.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248,921.00 |
| Mar 31, 2026 | 268,478.00 |
| Dec 31, 2025 | -105,588.00 |
| Sep 30, 2025 | 33,119.00 |
| Jun 30, 2025 | 113,097.00 |
| Mar 31, 2025 | 110,290.00 |
| Dec 31, 2024 | -88,561.00 |
| Sep 30, 2024 | -707,367.00 |
| Jun 30, 2024 | 145,544.00 |
| Mar 31, 2024 | -45,269.00 |
| Dec 31, 2023 | -967,215.00 |
| Sep 30, 2023 | 463,956.00 |
| Jun 30, 2023 | 487,141.00 |
| Mar 31, 2023 | -14,161.00 |
| Dec 31, 2022 | -113,459.00 |
| Sep 30, 2022 | 207,142.00 |
| Jun 30, 2022 | 137,714.00 |
| Mar 31, 2022 | 105,223.00 |
| Dec 31, 2021 | -76,330.00 |
| Sep 30, 2021 | 204,283.00 |
API Access
Bluejay Diagnostics Change in Accured Expenses 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=change-in-accured-expenses&ticker=BJDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=BJDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();