Mosaic ImmunoEngineering (CPMV) Change in Accured Expenses (2010 - 2026)
Mosaic ImmunoEngineering (CPMV) posted Change in Accured Expenses of $116,161 for Q1 2026, down 4.2% from $121,297 a year earlier and down 2.5% from the prior quarter.
Mosaic ImmunoEngineering (CPMV) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Change in Accured Expenses at Mosaic ImmunoEngineering was $481,420, down 11.2% year-over-year; for FY2025, it was $486,556, down 16.5% from FY2024.
- Annual Change in Accured Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In prior years, Mosaic ImmunoEngineering's Change in Accured Expenses was $582,741 in FY2024 (-25.8%), $785,779 in FY2023 (-22.0%), $1.01 million in FY2022 (+1.0%) and $997,866 in FY2021 (+153.6%).
- The Q1 2026 figure stands as the lowest quarterly Change in Accured Expenses in data going back to Q1 2021.
- On a year-over-year basis, Change in Accured Expenses has declined in each of the last 15 quarters, with an average decline of 17.6% over the last eight quarters.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q1 2022, with growth of 15.5%; the weakest was Q4 2024, with a decline of 34.2%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $119,099 (Q4 2025), $123,111 (Q3 2025) and $123,049 (Q2 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 | Mosaic ImmunoEngineering | 796,635.07 | 796,635.07 | - | 116,161.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 116,161.00 |
| Dec 31, 2025 | 119,099.00 |
| Sep 30, 2025 | 123,111.00 |
| Jun 30, 2025 | 123,049.00 |
| Mar 31, 2025 | 121,297.00 |
| Dec 31, 2024 | 125,802.00 |
| Sep 30, 2024 | 129,373.00 |
| Jun 30, 2024 | 165,531.00 |
| Mar 31, 2024 | 162,035.00 |
| Dec 31, 2023 | 191,118.00 |
| Sep 30, 2023 | 167,572.00 |
| Jun 30, 2023 | 204,132.00 |
| Mar 31, 2023 | 222,957.00 |
| Dec 31, 2022 | 253,903.00 |
| Sep 30, 2022 | 241,294.00 |
| Jun 30, 2022 | 256,782.00 |
| Mar 31, 2022 | 255,856.00 |
| Dec 31, 2021 | 270,801.00 |
| Sep 30, 2021 | 268,918.00 |
| Jun 30, 2021 | 236,617.00 |
Mosaic ImmunoEngineering 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=CPMV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CPMV", "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=CPMV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();