Gsk (GSK) Operating Expenses (2009 - 2026)
Analysis
Gsk (GSK) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.17 Bn | 1,237.79 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 660.04 Bn | 579.90 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 521.06 Bn | 494.17 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.60 Bn | 370.60 Bn | - | - |
| 5 | Novartis Ag | 311.97 Bn | 285.20 Bn | - | - |
| 6 | Astrazeneca | 288.69 Bn | 262.37 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 252.29 Bn | 207.69 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 213.47 Bn | 213.47 Bn | - | 4.84 Bn |
| 9 | Pfizer | 173.68 Bn | 120.32 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Gsk | 100.27 Bn | 83.11 Bn | 8.73 Bn | 5.87 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.87 Bn |
| Jun 30, 2026 | 7.60 Bn |
| Mar 31, 2026 | 5.14 Bn |
| Dec 31, 2025 | 22.10 Bn |
| Sep 30, 2025 | 5.30 Bn |
| Jun 30, 2025 | 5.55 Bn |
| Mar 31, 2025 | 4.45 Bn |
| Dec 31, 2024 | 22.35 Bn |
| Sep 30, 2024 | 6.83 Bn |
| Jun 30, 2024 | 4.98 Bn |
| Mar 31, 2024 | 4.47 Bn |
| Dec 31, 2023 | 19.37 Bn |
| Sep 30, 2023 | 4.90 Bn |
| Jun 30, 2023 | 4.52 Bn |
| Mar 31, 2023 | 4.14 Bn |
| Dec 31, 2022 | 16.26 Bn |
| Sep 30, 2022 | 4.01 Bn |
| Jun 30, 2022 | 4.17 Bn |
| Mar 31, 2022 | 3.91 Bn |
| Dec 31, 2021 | 4.81 Bn |
API Access
Gsk Operating Expenses 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=operating-expenses&ticker=GSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();