Cerus (CERS) Change in Inventory (2010 - 2026)
Cerus (CERS) recorded Change in Inventory of $4.6 million in Q2 2026, down 21.7% from $5.88 million a year earlier and down 20.9% from the prior quarter.
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Analysis
Cerus (CERS) Change in Inventory (2010 - 2026) Analysis & Trends
On a TTM basis, Cerus' Change in Inventory came in at $12.89 million as of Jun 30, 2026, up 12.5% year-over-year; for FY2025, it was $14.68 million.
- Annual Change in Inventory has a five-year compound annual growth rate of 29.5% (FY2020 to FY2025).
- Across earlier years, Change in Inventory came in at -$7.03 million in FY2024, $14.95 million in FY2023 (+745.4%), $1.77 million in FY2022 (-91.0%) and $19.61 million in FY2021 (+386.6%).
- Quarterly Change in Inventory has ranged from -$4.68 million in Q2 2024 to $8.17 million in Q3 2023 over the past five years.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 618.9% in Q1 2023, against a decline of 72.9% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.82 million (Q1 2026), $3.18 million (Q4 2025) and -$704,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 23.50 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | - |
| 10 | Cerus | 497.77 Mn | 200.38 Mn | 29.53 Mn | 4.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.60 Mn |
| Mar 31, 2026 | 5.82 Mn |
| Dec 31, 2025 | 3.18 Mn |
| Sep 30, 2025 | -704,000.00 |
| Jun 30, 2025 | 5.88 Mn |
| Mar 31, 2025 | 6.33 Mn |
| Dec 31, 2024 | 990,000.00 |
| Sep 30, 2024 | -1.74 Mn |
| Jun 30, 2024 | -4.68 Mn |
| Mar 31, 2024 | -1.59 Mn |
| Dec 31, 2023 | -4.57 Mn |
| Sep 30, 2023 | 8.17 Mn |
| Jun 30, 2023 | 5.35 Mn |
| Mar 31, 2023 | 6.00 Mn |
| Dec 31, 2022 | -751,000.00 |
| Sep 30, 2022 | -203,000.00 |
| Jun 30, 2022 | 1.89 Mn |
| Mar 31, 2022 | 834,000.00 |
| Dec 31, 2021 | 7.48 Mn |
| Sep 30, 2021 | 4.12 Mn |
API Access
Cerus Change in 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=change-in-inventory&ticker=CERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();