Seer (SEER) Shares Outstanding (Diluted) (2020 - 2026)
Seer (SEER) posted Shares Outstanding (Diluted) of 55.16 million for Q2 2026, down 5.0% from 58.09 million a year earlier and down 1.5% from the prior quarter.
Seer (SEER) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Seer's Shares Outstanding (Diluted) came in at 57.45 million, down 7.9% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 34.2% (FY2020 to FY2025).
- In prior years, Seer's Shares Outstanding (Diluted) was 62.35 million in FY2024 (-2.4%), 63.85 million in FY2023 (+2.3%), 62.43 million in FY2022 (+2.6%) and 60.86 million in FY2021 (+360.5%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q4 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last eight quarters, with an average decline of 6.4% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2021, with growth of 494.4%; the weakest was Q2 2025, with a decline of 10.0%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 56 million (Q1 2026), 57.45 million (Q4 2025) and 56.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 275.16 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 577.60 Mn |
| 10 | Seer | 225.08 Mn | 225.08 Mn | 1.51 Mn | 55.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.16 Mn |
| Mar 31, 2026 | 56.00 Mn |
| Dec 31, 2025 | 57.45 Mn |
| Sep 30, 2025 | 56.31 Mn |
| Jun 30, 2025 | 58.09 Mn |
| Mar 31, 2025 | 59.41 Mn |
| Dec 31, 2024 | 62.35 Mn |
| Sep 30, 2024 | 61.19 Mn |
| Jun 30, 2024 | 64.58 Mn |
| Mar 31, 2024 | 64.59 Mn |
| Dec 31, 2023 | 63.85 Mn |
| Sep 30, 2023 | 63.93 Mn |
| Jun 30, 2023 | 63.76 Mn |
| Mar 31, 2023 | 63.54 Mn |
| Dec 31, 2022 | 62.43 Mn |
| Sep 30, 2022 | 62.54 Mn |
| Jun 30, 2022 | 62.38 Mn |
| Mar 31, 2022 | 62.00 Mn |
| Dec 31, 2021 | 60.86 Mn |
| Sep 30, 2021 | 61.13 Mn |
Seer Shares Outstanding (Diluted) 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-diluted&ticker=SEER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SEER", "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-diluted&ticker=SEER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();