Cerus (CERS) Shares Outstanding (2009 - 2026)
Cerus (CERS) posted Weighted Average Shares Outstanding of 201.65 million for Q3 2026, up 5.1% from 191.83 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Cerus (CERS) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Cerus' Weighted Average Shares Outstanding came in at 190.59 million, up 3.3% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for 16 consecutive years, with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, Cerus' Weighted Average Shares Outstanding was 184.56 million in FY2024 (+2.4%), 180.27 million in FY2023 (+2.1%), 176.55 million in FY2022 (+3.1%) and 171.28 million in FY2021 (+4.5%).
- The Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 62 quarters, with growth averaging 3.6% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 2.1% (Q2 2023) and 5.1% (Q3 2026) over the last five years.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 200.57 million (Q2 2026), 194.14 million (Q1 2026) and 190.59 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 370.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.73 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 703.80 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 349.00 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 382.20 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 576.30 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 876.47 Mn |
| 10 | Cerus | 393.81 Mn | 117.79 Mn | 30.27 Mn | 201.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 201.65 Mn |
| Jun 30, 2026 | 200.57 Mn |
| Mar 31, 2026 | 194.14 Mn |
| Dec 31, 2025 | 190.59 Mn |
| Sep 30, 2025 | 191.83 Mn |
| Jun 30, 2025 | 191.30 Mn |
| Mar 31, 2025 | 187.07 Mn |
| Dec 31, 2024 | 184.56 Mn |
| Sep 30, 2024 | 185.42 Mn |
| Jun 30, 2024 | 184.98 Mn |
| Mar 31, 2024 | 182.09 Mn |
| Dec 31, 2023 | 180.27 Mn |
| Sep 30, 2023 | 180.94 Mn |
| Jun 30, 2023 | 180.61 Mn |
| Mar 31, 2023 | 178.27 Mn |
| Dec 31, 2022 | 176.55 Mn |
| Sep 30, 2022 | 177.24 Mn |
| Jun 30, 2022 | 176.94 Mn |
| Mar 31, 2022 | 174.48 Mn |
| Dec 31, 2021 | 171.28 Mn |
API Access
Cerus Shares Outstanding 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=shares-outstanding&ticker=CERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=CERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();