Cerus (CERS) Inventory (2010 - 2026)
Cerus' Inventory came in at $65.81 million for Q2 2026, up 20.7% from $54.53 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Cerus (CERS) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Cerus' Inventory was $56.1 million, up 47.1% from FY2024.
- Inventory carries a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- Going back by year, Inventory was $38.15 million in FY2024 (-4.3%), $39.87 million in FY2023 (+37.5%), $29 million in FY2022 (+8.2%) and $26.79 million in FY2021 (+15.2%).
- The Q2 2026 figure represents the highest quarterly Inventory in data going back to Q4 2010.
- Year-over-year, Inventory has increased for six consecutive quarters, with growth averaging 24.1% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q3 2021 (growth of 51.2%), and the weakest in Q3 2024 (a decline of 14.4%).
- Business Quant data shows CERS's Inventory at $61.12 million (Q1 2026), $56.1 million (Q4 2025) and $53.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Cerus | 497.77 Mn | 200.38 Mn | 29.53 Mn | 65.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.81 Mn |
| Mar 31, 2026 | 61.12 Mn |
| Dec 31, 2025 | 56.10 Mn |
| Sep 30, 2025 | 53.14 Mn |
| Jun 30, 2025 | 54.53 Mn |
| Mar 31, 2025 | 48.16 Mn |
| Dec 31, 2024 | 38.15 Mn |
| Sep 30, 2024 | 36.54 Mn |
| Jun 30, 2024 | 36.29 Mn |
| Mar 31, 2024 | 39.86 Mn |
| Dec 31, 2023 | 39.87 Mn |
| Sep 30, 2023 | 42.66 Mn |
| Jun 30, 2023 | 40.61 Mn |
| Mar 31, 2023 | 36.61 Mn |
| Dec 31, 2022 | 29.00 Mn |
| Sep 30, 2022 | 28.33 Mn |
| Jun 30, 2022 | 27.76 Mn |
| Mar 31, 2022 | 28.52 Mn |
| Dec 31, 2021 | 26.79 Mn |
| Sep 30, 2021 | 29.42 Mn |
API Access
Cerus Inventory 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=inventory&ticker=CERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();