Glaukos (GKOS) EPS (Diluted) (2014 - 2026)
Glaukos (GKOS) recorded EPS (Diluted) of -$0.31 in Q2 2026, compared with -$0.34 a year earlier.
Analysis
Glaukos (GKOS) EPS (Diluted) (2014 - 2026) Analysis & Trends
On a TTM basis, Glaukos' EPS (Diluted) came in at -$3.20 as of Jun 30, 2026; for FY2025, it was -$3.28.
- Across earlier years, EPS (Diluted) came in at -$2.77 in FY2024, -$2.78 in FY2023, -$2.09 in FY2022 and -$1.07 in FY2021.
- Quarterly EPS (Diluted) has ranged from -$2.34 in Q4 2025 to $0.13 in Q3 2021 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$0.34 (Q1 2026), -$2.34 (Q4 2025) and -$0.28 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 0.61 |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 1.37 |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 0.42 |
| 10 | Glaukos | 10.41 Bn | 10.00 Bn | 151.59 Mn | -0.31 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.31 |
| Mar 31, 2026 | -0.34 |
| Dec 31, 2025 | -2.34 |
| Sep 30, 2025 | -0.28 |
| Jun 30, 2025 | -0.34 |
| Mar 31, 2025 | -0.32 |
| Dec 31, 2024 | -0.64 |
| Sep 30, 2024 | -0.39 |
| Jun 30, 2024 | -1.00 |
| Mar 31, 2024 | -0.82 |
| Dec 31, 2023 | -0.76 |
| Sep 30, 2023 | -0.63 |
| Jun 30, 2023 | -0.68 |
| Mar 31, 2023 | -0.72 |
| Dec 31, 2022 | -0.66 |
| Sep 30, 2022 | -0.58 |
| Jun 30, 2022 | -0.96 |
| Mar 31, 2022 | 0.11 |
| Dec 31, 2021 | -0.47 |
| Sep 30, 2021 | 0.13 |
API Access
Glaukos 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=GKOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "GKOS", "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=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();