Cel Sci (CVM) Change in Accured Expenses (2010 - 2026)
Cel Sci's Change in Accured Expenses was -$7,099 in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $312,135 a year earlier.
Cel Sci (CVM) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cel Sci's Change in Accured Expenses was -$945,185 through Jun 30, 2026; for FY2025 (ended Sep 30, 2025), it came in at $120,728.
- Change in Accured Expenses shows a five-year compound annual growth rate of -21.5% (FY2020 to FY2025).
- In earlier fiscal years, Change in Accured Expenses was -$458,489 in FY2024, $207,089 in FY2023 (+0.8%), $205,495 in FY2022 (-43.5%) and $363,701 in FY2021 (-10.4%).
- Quarterly Change in Accured Expenses has moved between -$685,486 (fiscal Q4 2025) and $312,135 (fiscal Q3 2025) over five years.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q2 2025 (growth of 551.9%); the worst was fiscal Q3 2022 (a decline of 98.2%).
- Per Business Quant data, CVM's Change in Accured Expenses in the three fiscal quarters before Q3 2026 was -$26,240 (Q2 2026), -$226,360 (Q1 2026) and -$685,486 (Q4 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 | Cel Sci | 3.76 Mn | -21.89 Mn | - | -7,099.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7,099.00 |
| Mar 31, 2026 | -26,240.00 |
| Dec 31, 2025 | -226,360.00 |
| Sep 30, 2025 | -685,486.00 |
| Jun 30, 2025 | 312,135.00 |
| Mar 31, 2025 | 299,282.00 |
| Dec 31, 2024 | 194,797.00 |
| Sep 30, 2024 | -626,057.00 |
| Jun 30, 2024 | -26,795.00 |
| Mar 31, 2024 | 45,909.00 |
| Dec 31, 2023 | 148,454.00 |
| Sep 30, 2023 | -36,711.00 |
| Jun 30, 2023 | 132,285.00 |
| Mar 31, 2023 | 32,428.00 |
| Dec 31, 2022 | 79,087.00 |
| Sep 30, 2022 | -24,517.00 |
| Jun 30, 2022 | 7,900.00 |
| Mar 31, 2022 | 13,066.00 |
| Dec 31, 2021 | 209,046.00 |
| Sep 30, 2021 | 65,773.00 |
Cel Sci 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=CVM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CVM", "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=CVM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();