Seer (SEER) EPS (Diluted) (2020 - 2026)
Seer (SEER) posted EPS (Diluted) of -$0.31 for Q2 2026, compared with -$0.33 a year earlier.
Analysis
Seer (SEER) EPS (Diluted) (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Seer was -$1.23; for FY2025, it was -$1.28.
- In prior years, Seer's EPS (Diluted) was -$1.39 in FY2024, -$1.35 in FY2023, -$1.49 in FY2022 and -$1.17 in FY2021.
- Quarterly EPS (Diluted) has run from a low of -$0.38 in Q3 2022 to a high of -$0.28 in Q4 2025 over five years.
- According to Business Quant data, EPS (Diluted) for the three prior quarters 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 (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 0.61 |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 1.37 |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 0.42 |
| 10 | Seer | 111.43 Mn | -593.23 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 (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=eps-diluted&ticker=SEER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=SEER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();