Jade Biosciences (JBIO) Change in Accured Expenses (2020 - 2026)
Jade Biosciences' Change in Accured Expenses was $84,000 in Q2 2026, down 98.3% from $4.81 million a year earlier and down 98.5% from the prior quarter.
Jade Biosciences (JBIO) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jade Biosciences' Change in Accured Expenses was $6.94 million through Jun 30, 2026, down 38.3% year-over-year; for FY2025, it came in at $3.94 million.
- Change in Accured Expenses shows a five-year compound annual growth rate of 30.6% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was -$9.91 million in FY2024, $10 million in FY2023 (+172.3%), $3.67 million in FY2022 and -$6,000 in FY2021.
- Quarterly Change in Accured Expenses has moved between -$3.5 million (Q4 2025) and $8.13 million (Q4 2024) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 156.2%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2025 (growth of 715.3%); the worst was Q2 2026 (a decline of 98.3%).
- Per Business Quant data, JBIO's Change in Accured Expenses in the three quarters before Q2 2026 was $5.77 million (Q1 2026), -$3.5 million (Q4 2025) and $4.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Jade Biosciences | 897.41 Mn | 897.41 Mn | - | 84,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84,000.00 |
| Mar 31, 2026 | 5.77 Mn |
| Dec 31, 2025 | -3.50 Mn |
| Sep 30, 2025 | 4.58 Mn |
| Jun 30, 2025 | 4.81 Mn |
| Mar 31, 2025 | -1.95 Mn |
| Dec 31, 2024 | -5.76 Mn |
| Sep 30, 2024 | 244,000.00 |
| Jun 30, 2024 | 606,000.00 |
| Mar 31, 2024 | -3.06 Mn |
| Dec 31, 2023 | 4.05 Mn |
| Sep 30, 2023 | 3.39 Mn |
| Jun 30, 2023 | 1.84 Mn |
| Mar 31, 2023 | 716,000.00 |
| Dec 31, 2022 | 2.04 Mn |
| Sep 30, 2022 | 1.44 Mn |
| Jun 30, 2022 | -306,000.00 |
| Mar 31, 2022 | 497,000.00 |
| Dec 31, 2021 | 27,000.00 |
| Sep 30, 2021 | -28,000.00 |
Jade Biosciences 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=JBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "JBIO", "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=JBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();