West Pharmaceutical Services (WST) Tax Provisions (2009 - 2026)
West Pharmaceutical Services' Tax Provisions was $58 million in Q3 2026, up 70.6% from $34 million a year earlier and up 80.1% from the prior quarter.
West Pharmaceutical Services (WST) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, West Pharmaceutical Services' Tax Provisions was $168.2 million through Sep 30, 2026, up 34.5% year-over-year; for FY2025, it came in at $121.6 million, up 13.1% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $107.5 million in FY2024 (-12.1%), $122.3 million in FY2023 (+6.6%), $114.7 million in FY2022 (+7.0%) and $107.2 million in FY2021 (+47.9%).
- The Q3 2026 figure marks the highest quarterly Tax Provisions since Q4 2017.
- Compared with a year earlier, Tax Provisions has increased for three straight quarters, with growth averaging 31.2% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q1 2026 (growth of 85.5%); the worst was Q2 2024 (a decline of 37.1%).
- Per Business Quant data, WST's Tax Provisions in the three quarters before Q3 2026 was $32.2 million (Q2 2026), $44.7 million (Q1 2026) and $33.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 352.00 Mn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 311.00 Mn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | -75.00 Mn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 144.00 Mn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 244.00 Mn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 153.00 Mn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 61.80 Mn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 102.00 Mn |
| 10 | West Pharmaceutical Services | 29.14 Bn | 26.93 Bn | 347.40 Mn | 58.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 58.00 Mn |
| Jun 30, 2026 | 32.20 Mn |
| Mar 31, 2026 | 44.70 Mn |
| Dec 31, 2025 | 33.30 Mn |
| Sep 30, 2025 | 34.00 Mn |
| Jun 30, 2025 | 30.20 Mn |
| Mar 31, 2025 | 24.10 Mn |
| Dec 31, 2024 | 36.80 Mn |
| Sep 30, 2024 | 32.40 Mn |
| Jun 30, 2024 | 21.90 Mn |
| Mar 31, 2024 | 16.40 Mn |
| Dec 31, 2023 | 34.50 Mn |
| Sep 30, 2023 | 29.40 Mn |
| Jun 30, 2023 | 34.80 Mn |
| Mar 31, 2023 | 23.60 Mn |
| Dec 31, 2022 | 28.90 Mn |
| Sep 30, 2022 | 20.40 Mn |
| Jun 30, 2022 | 44.20 Mn |
| Mar 31, 2022 | 21.20 Mn |
| Dec 31, 2021 | 34.20 Mn |
West Pharmaceutical Services Tax Provisions 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=tax-provisions&ticker=WST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();