Cerus (CERS) Non-Current Assets (2010 - 2026)
Cerus' Non-Current Assets was $47.88 million in Q2 2026, up 7.5% from $44.54 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Cerus (CERS) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Cerus came in at $47.48 million, down 2.9% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $48.9 million in FY2024 (-8.3%), $53.31 million in FY2023 (+11.2%), $47.95 million in FY2022 (-4.9%) and $50.4 million in FY2021 (+32.7%).
- Quarterly Non-Current Assets has moved between $40.89 million (Q3 2021) and $54.91 million (Q3 2023) over five years.
- Compared with a year earlier, Non-Current Assets was higher in two of the last eight quarters, with an average decline of 4.3%.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2022 (growth of 37.6%); the worst was Q2 2025 (a decline of 11.7%).
- Per Business Quant data, CERS's Non-Current Assets in the three quarters before Q2 2026 was $47.57 million (Q1 2026), $47.48 million (Q4 2025) and $48.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Cerus | 497.77 Mn | 200.38 Mn | 29.53 Mn | 47.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.88 Mn |
| Mar 31, 2026 | 47.57 Mn |
| Dec 31, 2025 | 47.48 Mn |
| Sep 30, 2025 | 48.06 Mn |
| Jun 30, 2025 | 44.54 Mn |
| Mar 31, 2025 | 45.26 Mn |
| Dec 31, 2024 | 48.90 Mn |
| Sep 30, 2024 | 48.93 Mn |
| Jun 30, 2024 | 50.47 Mn |
| Mar 31, 2024 | 50.97 Mn |
| Dec 31, 2023 | 53.31 Mn |
| Sep 30, 2023 | 54.91 Mn |
| Jun 30, 2023 | 47.92 Mn |
| Mar 31, 2023 | 47.12 Mn |
| Dec 31, 2022 | 47.95 Mn |
| Sep 30, 2022 | 50.67 Mn |
| Jun 30, 2022 | 51.78 Mn |
| Mar 31, 2022 | 49.09 Mn |
| Dec 31, 2021 | 50.40 Mn |
| Sep 30, 2021 | 40.89 Mn |
API Access
Cerus Non-Current Assets 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=non-current-assets&ticker=CERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();