Cerus (CERS) Total Liabilities (2010 - 2026)
Cerus' Total Liabilities was $134.47 million in Q2 2026, down 14.3% from $156.9 million a year earlier and down 13.0% from the prior quarter.
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Analysis
Cerus (CERS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Cerus came in at $156.89 million, up 8.9% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $144.02 million in FY2024 (-0.2%), $144.3 million in FY2023 (-3.5%), $149.53 million in FY2022 (-1.5%) and $151.88 million in FY2021 (+29.1%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q1 2021.
- Compared with a year earlier, Total Liabilities was higher in five of the last eight quarters, with growth averaging 2.6%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 32.4%); the worst was Q2 2026 (a decline of 14.3%).
- Per Business Quant data, CERS's Total Liabilities in the three quarters before Q2 2026 was $154.62 million (Q1 2026), $156.89 million (Q4 2025) and $152.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Cerus | 465.52 Mn | 168.13 Mn | 29.53 Mn | 134.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 134.47 Mn |
| Mar 31, 2026 | 154.62 Mn |
| Dec 31, 2025 | 156.89 Mn |
| Sep 30, 2025 | 152.98 Mn |
| Jun 30, 2025 | 156.90 Mn |
| Mar 31, 2025 | 150.53 Mn |
| Dec 31, 2024 | 144.02 Mn |
| Sep 30, 2024 | 135.26 Mn |
| Jun 30, 2024 | 135.20 Mn |
| Mar 31, 2024 | 138.97 Mn |
| Dec 31, 2023 | 144.30 Mn |
| Sep 30, 2023 | 156.82 Mn |
| Jun 30, 2023 | 147.17 Mn |
| Mar 31, 2023 | 149.77 Mn |
| Dec 31, 2022 | 149.53 Mn |
| Sep 30, 2022 | 141.33 Mn |
| Jun 30, 2022 | 139.70 Mn |
| Mar 31, 2022 | 141.50 Mn |
| Dec 31, 2021 | 151.88 Mn |
| Sep 30, 2021 | 137.87 Mn |
API Access
Cerus 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=CERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CERS", "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=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();