Gsk (GSK) EPS (Diluted) (2009 - 2026)
Gsk's EPS (Diluted) came in at $1.01 for the quarter ended Sep 30, 2026, down 23.2% from $1.31 a year earlier but up 255.2% from the prior quarter.
Gsk (GSK) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Gsk reported EPS (Diluted) of $6.12, up 75.6% year-over-year; for the year ended Dec 31, 2025, it came in at $3.66, up 130.4% from the prior year.
- EPS (Diluted) carries a five-year compound annual growth rate of 0.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, EPS (Diluted) was $1.59 in the year ended Dec 31, 2024 (-46.7%), $2.98 in the year ended Dec 31, 2023 (-67.1%), $9.06 in the year ended Dec 31, 2022 (+204.4%) and $2.98 in the year ended Dec 31, 2021 (-18.7%).
- The five-year range for quarterly EPS (Diluted) is -$0.04 (the quarter ended Sep 30, 2024) to $6.29 (the quarter ended Sep 30, 2022).
- Year-over-year, EPS (Diluted) increased in four of the last six quarters, with growth averaging 4.3%.
- The fastest year-over-year change in EPS (Diluted) over five years came in the quarter ended Sep 30, 2022 (growth of 687.8%), and the weakest in the quarter ended Sep 30, 2023 (a decline of 85.6%).
- Business Quant data shows GSK's EPS (Diluted) at $0.28 (quarter ended Jun 30, 2026), $1.14 (quarter ended Mar 31, 2026) and $3.69 (quarter ended Dec 31, 2025) in the three quarters before the quarter ended Sep 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.17 Bn | 1,237.79 Bn | 20.46 Bn | 7.22 |
| 2 | Johnson & Johnson | 660.04 Bn | 579.90 Bn | 17.30 Bn | 0.09 |
| 3 | AbbVie | 521.06 Bn | 494.17 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 370.60 Bn | 370.60 Bn | - | 2.05 |
| 5 | Novartis Ag | 311.97 Bn | 285.20 Bn | - | - |
| 6 | Astrazeneca | 288.69 Bn | 262.37 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 252.29 Bn | 207.69 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 213.47 Bn | 213.47 Bn | - | - |
| 9 | Pfizer | 173.68 Bn | 120.32 Bn | 10.94 Bn | -0.04 |
| 10 | Gsk | 100.27 Bn | 83.11 Bn | 8.73 Bn | 1.01 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.01 |
| Jun 30, 2026 | 0.28 |
| Mar 31, 2026 | 1.14 |
| Dec 31, 2025 | 3.69 |
| Sep 30, 2025 | 1.31 |
| Jun 30, 2025 | 0.93 |
| Mar 31, 2025 | 0.99 |
| Dec 31, 2024 | 0.26 |
| Sep 30, 2024 | -0.04 |
| Jun 30, 2024 | 0.72 |
| Mar 31, 2024 | 0.65 |
| Dec 31, 2023 | 0.21 |
| Sep 30, 2023 | 0.91 |
| Jun 30, 2023 | 1.00 |
| Mar 31, 2023 | 0.89 |
| Dec 31, 2022 | 0.86 |
| Sep 30, 2022 | 6.29 |
| Jun 30, 2022 | 0.52 |
| Mar 31, 2022 | 1.19 |
| Dec 31, 2021 | 0.50 |
Gsk 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=GSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "GSK", "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=GSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();