West Pharmaceutical Services (WST) Operating Expenses (2009 - 2026)
West Pharmaceutical Services (WST) reported Operating Expenses of $137.3 million for Q2 2026, up 19.4% from $115 million a year earlier and up 19.1% from the prior quarter.
West Pharmaceutical Services (WST) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, West Pharmaceutical Services' Operating Expenses came in at $501.2 million, up 18.7% year-over-year; for FY2025, it was $467.9 million, up 14.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $407.6 million in FY2024 (-3.4%), $421.8 million in FY2023 (+12.4%), $375.4 million in FY2022 (-9.7%) and $415.6 million in FY2021 (+19.1%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2009.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 9.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2023 (growth of 31.9%); the low point was Q3 2022 (a decline of 23.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $115.3 million (Q1 2026), $128.8 million (Q4 2025) and $119.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | West Pharmaceutical Services | 27.53 Bn | 25.15 Bn | 329.20 Mn | 137.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.30 Mn |
| Mar 31, 2026 | 115.30 Mn |
| Dec 31, 2025 | 128.80 Mn |
| Sep 30, 2025 | 119.80 Mn |
| Jun 30, 2025 | 115.00 Mn |
| Mar 31, 2025 | 104.30 Mn |
| Dec 31, 2024 | 103.80 Mn |
| Sep 30, 2024 | 99.00 Mn |
| Jun 30, 2024 | 100.50 Mn |
| Mar 31, 2024 | 104.30 Mn |
| Dec 31, 2023 | 108.40 Mn |
| Sep 30, 2023 | 105.40 Mn |
| Jun 30, 2023 | 104.90 Mn |
| Mar 31, 2023 | 103.10 Mn |
| Dec 31, 2022 | 101.60 Mn |
| Sep 30, 2022 | 79.90 Mn |
| Jun 30, 2022 | 95.90 Mn |
| Mar 31, 2022 | 98.00 Mn |
| Dec 31, 2021 | 111.70 Mn |
| Sep 30, 2021 | 105.00 Mn |
West Pharmaceutical Services 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=WST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WST", "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=WST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();