Seer (SEER) EPS (Basic) (2020 - 2026)
Seer's EPS (Basic) was -$0.31 in Q2 2026, compared with -$0.33 a year earlier.
Analysis
Seer (SEER) EPS (Basic) (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seer's EPS (Basic) was -$1.23 through Jun 30, 2026; for FY2025, it came in at -$1.28.
- In earlier years, EPS (Basic) was -$1.39 in FY2024, -$1.35 in FY2023, -$1.49 in FY2022 and -$1.17 in FY2021.
- Quarterly EPS (Basic) has moved between -$0.38 (Q3 2022) and -$0.28 (Q4 2025) over five years.
- Per Business Quant data, SEER's EPS (Basic) in the three quarters before Q2 2026 was -$0.30 (Q1 2026), -$0.28 (Q4 2025) and -$0.32 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.31 |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.15 |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.33 |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 0.62 |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.37 |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 0.42 |
| 10 | Seer | 225.08 Mn | 225.08 Mn | 1.51 Mn | -0.31 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.31 |
| Mar 31, 2026 | -0.30 |
| Dec 31, 2025 | -0.28 |
| Sep 30, 2025 | -0.32 |
| Jun 30, 2025 | -0.33 |
| Mar 31, 2025 | -0.34 |
| Dec 31, 2024 | -0.35 |
| Sep 30, 2024 | -0.35 |
| Jun 30, 2024 | -0.35 |
| Mar 31, 2024 | -0.32 |
| Dec 31, 2023 | -0.28 |
| Sep 30, 2023 | -0.33 |
| Jun 30, 2023 | -0.37 |
| Mar 31, 2023 | -0.38 |
| Dec 31, 2022 | -0.36 |
| Sep 30, 2022 | -0.38 |
| Jun 30, 2022 | -0.37 |
| Mar 31, 2022 | -0.38 |
| Dec 31, 2021 | -0.32 |
| Sep 30, 2021 | -0.30 |
API Access
Seer EPS (Basic) 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=eps-basic&ticker=SEER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=SEER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();