Cerus (CERS) EBITDA (2010 - 2026)
Cerus (CERS) recorded EBITDA of -$1.4 million in Q2 2026, compared with -$3.08 million a year earlier.
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Analysis
Cerus (CERS) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Cerus' EBITDA came in at -$9.93 million as of Jun 30, 2026; for FY2021, it was -$45.79 million.
- Across earlier years, EBITDA came in at -$55.22 million in FY2020, -$63.82 million in FY2019, -$53.54 million in FY2018 and -$55.72 million in FY2017.
- Quarterly EBITDA has ranged from -$10.36 million in Q3 2021 to $93,000 in Q1 2026 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 789.70 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Cerus | 468.32 Mn | 170.24 Mn | 29.53 Mn | -1.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.40 Mn |
| Mar 31, 2026 | 93,000.00 |
| Jun 30, 2025 | -3.08 Mn |
| Mar 31, 2025 | -5.55 Mn |
| Sep 30, 2022 | -6.74 Mn |
| Jun 30, 2022 | -6.07 Mn |
| Mar 31, 2022 | -8.98 Mn |
| Dec 31, 2021 | -6.15 Mn |
| Sep 30, 2021 | -10.36 Mn |
| Jun 30, 2021 | -13.62 Mn |
| Mar 31, 2021 | -15.65 Mn |
| Dec 31, 2020 | -13.53 Mn |
| Sep 30, 2020 | -13.17 Mn |
| Jun 30, 2020 | -13.83 Mn |
| Mar 31, 2020 | -14.70 Mn |
| Dec 31, 2019 | -15.79 Mn |
| Sep 30, 2019 | -17.09 Mn |
| Jun 30, 2019 | -15.26 Mn |
| Mar 31, 2019 | -15.69 Mn |
| Dec 31, 2018 | -15.12 Mn |
API Access
Cerus EBITDA 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=ebitda&ticker=CERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();