Mosaic ImmunoEngineering (CPMV) Operating Expenses (2010 - 2026)
Mosaic ImmunoEngineering (CPMV) posted Operating Expenses of $154,802 for Q1 2026, down 11.4% from $174,774 a year earlier but up 4.5% from the prior quarter.
Mosaic ImmunoEngineering (CPMV) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Mosaic ImmunoEngineering was $596,147, down 24.1% year-over-year; for FY2025, it was $616,119, down 30.0% from FY2024.
- Annual Operating Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- In prior years, Mosaic ImmunoEngineering's Operating Expenses was $879,655 in FY2024 (-37.2%), $1.4 million in FY2023 (-46.7%), $2.63 million in FY2022 (-25.0%) and $3.5 million in FY2021 (+319.0%).
- Quarterly Operating Expenses has run from a low of $144,358 in Q3 2025 to a high of $961,057 in Q3 2021 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last 17 quarters, with an average decline of 28.0% over the last eight quarters.
- Across the past five years, year-over-year decline in Operating Expenses ran from 1.3% in Q4 2025 to 60.1% in Q2 2023.
- According to Business Quant data, Operating Expenses for the three prior quarters was $148,133 (Q4 2025), $144,358 (Q3 2025) and $148,854 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Mosaic ImmunoEngineering | 434,528.21 | 434,528.21 | - | 154,802.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 154,802.00 |
| Dec 31, 2025 | 148,133.00 |
| Sep 30, 2025 | 144,358.00 |
| Jun 30, 2025 | 148,854.00 |
| Mar 31, 2025 | 174,774.00 |
| Dec 31, 2024 | 150,157.00 |
| Sep 30, 2024 | 186,430.00 |
| Jun 30, 2024 | 274,302.00 |
| Mar 31, 2024 | 268,766.00 |
| Dec 31, 2023 | 275,618.00 |
| Sep 30, 2023 | 311,871.00 |
| Jun 30, 2023 | 352,506.00 |
| Mar 31, 2023 | 459,773.00 |
| Dec 31, 2022 | 497,554.00 |
| Sep 30, 2022 | 517,206.00 |
| Jun 30, 2022 | 883,726.00 |
| Mar 31, 2022 | 729,036.00 |
| Dec 31, 2021 | 824,959.00 |
| Sep 30, 2021 | 961,057.00 |
| Jun 30, 2021 | 910,702.00 |
Mosaic ImmunoEngineering Operating 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=operating-expenses&ticker=CPMV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CPMV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();