Cerus (CERS) Operating Expenses (2010 - 2026)
Cerus' Operating Expenses came in at $37.25 million for Q2 2026, down 7.1% from $40.08 million a year earlier but up 8.0% from the prior quarter.
Cerus (CERS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cerus reported Operating Expenses of $148.71 million, up 0.6% year-over-year; for FY2021, it came in at $144.98 million, up 10.3% from FY2020.
- Operating Expenses has increased in each of the last 11 years, with a five-year compound annual growth rate of 12.5% (FY2016 to FY2021).
- Going back by year, Operating Expenses was $131.43 million in FY2020 (+3.8%), $126.58 million in FY2019 (+27.3%), $99.41 million in FY2018 (+15.2%) and $86.33 million in FY2017 (+7.3%).
- The five-year range for quarterly Operating Expenses is $34.48 million (Q1 2026) to $40.08 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Cerus | 497.77 Mn | 200.38 Mn | 29.53 Mn | 37.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.25 Mn |
| Mar 31, 2026 | 34.48 Mn |
| Jun 30, 2025 | 40.08 Mn |
| Mar 31, 2025 | 36.89 Mn |
| Sep 30, 2022 | 36.13 Mn |
| Jun 30, 2022 | 34.75 Mn |
| Mar 31, 2022 | 34.79 Mn |
| Dec 31, 2021 | 37.58 Mn |
| Sep 30, 2021 | 35.65 Mn |
| Jun 30, 2021 | 36.84 Mn |
| Mar 31, 2021 | 34.92 Mn |
| Dec 31, 2020 | 35.75 Mn |
| Sep 30, 2020 | 32.22 Mn |
| Jun 30, 2020 | 31.73 Mn |
| Mar 31, 2020 | 31.72 Mn |
| Dec 31, 2019 | 33.60 Mn |
| Sep 30, 2019 | 32.22 Mn |
| Jun 30, 2019 | 31.16 Mn |
| Mar 31, 2019 | 29.60 Mn |
| Dec 31, 2018 | 27.25 Mn |
Cerus Operating Expenses 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=operating-expenses&ticker=CERS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();