Adaptin Bio (APTN) Change in Accured Expenses (2023 - 2026)
Adaptin Bio (APTN) reported Change in Accured Expenses of -$42,777 for Q2 2026, compared with -$260,028 a year earlier.
Adaptin Bio (APTN) Change in Accured Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Adaptin Bio's Change in Accured Expenses came in at $288,933; for FY2025, it came in at -$453,445.
- By year, Change in Accured Expenses came in at $851,311 in FY2024, -$12,442 in FY2023 and $12,500 in FY2022.
- Five-year quarterly Change in Accured Expenses spans a low of -$268,226 in Q1 2025 and a high of $636,596 in Q2 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $256,901 (Q1 2026), $73,989 (Q4 2025) and $820.00 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Adaptin Bio | 56.76 Mn | 54.75 Mn | - | -42,777.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -42,777.00 |
| Mar 31, 2026 | 256,901.00 |
| Dec 31, 2025 | 73,989.00 |
| Sep 30, 2025 | 820.00 |
| Jun 30, 2025 | -260,028.00 |
| Mar 31, 2025 | -268,226.00 |
| Dec 31, 2024 | 202,286.00 |
| Sep 30, 2024 | 80,288.00 |
| Jun 30, 2024 | 636,596.00 |
| Mar 31, 2024 | -67,859.00 |
| Dec 31, 2023 | -28,442.00 |
Adaptin Bio 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=APTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "APTN", "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=APTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();