Cerus (CERS) Cash & Equivalents (2009 - 2026)
Cerus' Cash & Equivalents came in at $16.35 million for Q3 2026, up 4.3% from $15.67 million a year earlier but down 9.1% from the prior quarter.
Analysis
Cerus (CERS) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cerus' Cash & Equivalents was $19.96 million, down 1.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $20.27 million in FY2024 (+74.0%), $11.65 million in FY2023 (-67.3%), $35.59 million in FY2022 (-27.0%) and $48.76 million in FY2021 (+33.2%).
- The five-year range for quarterly Cash & Equivalents is $11.65 million (Q4 2023) to $48.76 million (Q4 2021).
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 16.1% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2024 (growth of 74.0%), and the weakest in Q4 2023 (a decline of 67.3%).
- Business Quant data shows CERS's Cash & Equivalents at $17.98 million (Q2 2026), $27.85 million (Q1 2026) and $19.96 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Cerus | 393.81 Mn | 117.79 Mn | 30.27 Mn | 16.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.35 Mn |
| Jun 30, 2026 | 17.98 Mn |
| Mar 31, 2026 | 27.85 Mn |
| Dec 31, 2025 | 19.96 Mn |
| Sep 30, 2025 | 15.67 Mn |
| Jun 30, 2025 | 15.99 Mn |
| Mar 31, 2025 | 19.48 Mn |
| Dec 31, 2024 | 20.27 Mn |
| Sep 30, 2024 | 21.58 Mn |
| Jun 30, 2024 | 12.40 Mn |
| Mar 31, 2024 | 20.53 Mn |
| Dec 31, 2023 | 11.65 Mn |
| Sep 30, 2023 | 17.39 Mn |
| Jun 30, 2023 | 20.64 Mn |
| Mar 31, 2023 | 27.60 Mn |
| Dec 31, 2022 | 35.59 Mn |
| Sep 30, 2022 | 28.88 Mn |
| Jun 30, 2022 | 32.31 Mn |
| Mar 31, 2022 | 38.37 Mn |
| Dec 31, 2021 | 48.76 Mn |
API Access
Cerus Cash & Equivalents 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=cash-and-equivalents&ticker=CERS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();