Cerus (CERS) Capital Expenditures (2010 - 2026)
Cerus' Capital Expenditures was $873,000 in Q2 2026, up 83.0% from $477,000 a year earlier and up 274.7% from the prior quarter.
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Analysis
Cerus (CERS) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cerus' Capital Expenditures was $4.25 million through Jun 30, 2026, up 85.7% year-over-year; for FY2025, it came in at $3.73 million, up 31.4% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $2.84 million in FY2024 (-38.3%), $4.6 million in FY2023 (+129.9%), $2 million in FY2022 (+119.8%) and $910,000 in FY2021 (-43.7%).
- Quarterly Capital Expenditures has moved between -$6,000 (Q4 2023) and $2.64 million (Q3 2023) over five years.
- Compared with a year earlier, Capital Expenditures has increased for four straight quarters, with growth averaging 36.1% over the last six quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2023 (growth of 469.2%); the worst was Q2 2024 (a decline of 90.8%).
- Per Business Quant data, CERS's Capital Expenditures in the three quarters before Q2 2026 was $233,000 (Q1 2026), $1.31 million (Q4 2025) and $1.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Cerus | 497.77 Mn | 200.38 Mn | 29.53 Mn | 873,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 873,000.00 |
| Mar 31, 2026 | 233,000.00 |
| Dec 31, 2025 | 1.31 Mn |
| Sep 30, 2025 | 1.83 Mn |
| Jun 30, 2025 | 477,000.00 |
| Mar 31, 2025 | 112,000.00 |
| Dec 31, 2024 | 976,000.00 |
| Sep 30, 2024 | 721,000.00 |
| Jun 30, 2024 | 41,000.00 |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | -6,000.00 |
| Sep 30, 2023 | 2.64 Mn |
| Jun 30, 2023 | 444,000.00 |
| Mar 31, 2023 | 1.52 Mn |
| Dec 31, 2022 | 1.24 Mn |
| Sep 30, 2022 | 574,000.00 |
| Jun 30, 2022 | 78,000.00 |
| Mar 31, 2022 | 113,000.00 |
| Dec 31, 2021 | 464,000.00 |
| Sep 30, 2021 | 221,000.00 |
API Access
Cerus Capital Expenditures 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=capital-expenditures&ticker=CERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();