Mosaic ImmunoEngineering (CPMV) Total Liabilities (2011 - 2026)
Mosaic ImmunoEngineering (CPMV) reported Total Liabilities of $7.66 million for Q1 2026, up 8.4% from $7.07 million a year earlier and up 2.2% from the prior quarter.
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Analysis
Mosaic ImmunoEngineering (CPMV) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Mosaic ImmunoEngineering posted Total Liabilities of $7.5 million, up 8.2% from FY2024.
- Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 53.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $6.93 million in FY2024 (+14.5%), $6.05 million in FY2023 (+17.6%), $5.15 million in FY2022 (+67.7%) and $3.07 million in FY2021 (+248.6%).
- The Q1 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q1 2021.
- Year over year, Total Liabilities has now increased in each of the last 17 quarters, with growth averaging 11.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 8.2% (Q4 2025) to 213.0% (Q1 2022).
- Per Business Quant data, the three quarters before Q1 2026 came in at $7.5 million (Q4 2025), $7.36 million (Q3 2025) and $7.2 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Mosaic ImmunoEngineering | 434,528.21 | 434,528.21 | - | 7.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.66 Mn |
| Dec 31, 2025 | 7.50 Mn |
| Sep 30, 2025 | 7.36 Mn |
| Jun 30, 2025 | 7.20 Mn |
| Mar 31, 2025 | 7.07 Mn |
| Dec 31, 2024 | 6.93 Mn |
| Sep 30, 2024 | 6.68 Mn |
| Jun 30, 2024 | 6.46 Mn |
| Mar 31, 2024 | 6.23 Mn |
| Dec 31, 2023 | 6.05 Mn |
| Sep 30, 2023 | 5.87 Mn |
| Jun 30, 2023 | 5.62 Mn |
| Mar 31, 2023 | 5.43 Mn |
| Dec 31, 2022 | 5.15 Mn |
| Sep 30, 2022 | 4.79 Mn |
| Jun 30, 2022 | 4.48 Mn |
| Mar 31, 2022 | 3.83 Mn |
| Dec 31, 2021 | 3.07 Mn |
| Sep 30, 2021 | 2.65 Mn |
| Jun 30, 2021 | 2.12 Mn |
API Access
Mosaic ImmunoEngineering Total Liabilities 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=total-liabilities&ticker=CPMV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CPMV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();