West Pharmaceutical Services (WST) Asset Writedowns and Impairment (2011 - 2026)
West Pharmaceutical Services' Asset Writedowns and Impairment came in at $3.9 million for Q2 2026, up 2.6% from $3.8 million a year earlier.
West Pharmaceutical Services (WST) Asset Writedowns and Impairment (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, West Pharmaceutical Services reported Asset Writedowns and Impairment of $11.8 million, up 12.4% year-over-year; for FY2025, it came in at $11.7 million, up 60.3% from FY2024.
- Asset Writedowns and Impairment carries a four-year compound annual growth rate of 20.2% (FY2021 to FY2025).
- Going back by year, Asset Writedowns and Impairment was $7.3 million in FY2024 (-24.0%), $9.6 million in FY2023 (+54.8%), $6.2 million in FY2022 (+10.7%) and $5.6 million in FY2021.
- The five-year range for quarterly Asset Writedowns and Impairment is $200,000 (Q2 2022) to $7.3 million (Q4 2025).
- Year-over-year, Asset Writedowns and Impairment increased in three of the last seven quarters, with an average decline of 7.7%.
- The fastest year-over-year change in Asset Writedowns and Impairment over five years came in Q2 2023 (growth of 650.0%), and the weakest in Q2 2024 (a decline of 80.0%).
- Business Quant data shows WST's Asset Writedowns and Impairment at $300,000 (Q1 2026), $7.3 million (Q4 2025) and $300,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | West Pharmaceutical Services | 25.69 Bn | 23.31 Bn | 329.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.90 Mn |
| Mar 31, 2026 | 300,000.00 |
| Dec 31, 2025 | 7.30 Mn |
| Sep 30, 2025 | 300,000.00 |
| Jun 30, 2025 | 3.80 Mn |
| Mar 31, 2025 | 300,000.00 |
| Dec 31, 2024 | 5.40 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 300,000.00 |
| Mar 31, 2024 | 600,000.00 |
| Dec 31, 2023 | 2.70 Mn |
| Sep 30, 2023 | 3.50 Mn |
| Jun 30, 2023 | 1.50 Mn |
| Mar 31, 2023 | 1.90 Mn |
| Dec 31, 2022 | 4.60 Mn |
| Sep 30, 2022 | 1.40 Mn |
| Jun 30, 2022 | 200,000.00 |
| Sep 30, 2018 | 400,000.00 |
| Jun 30, 2018 | 300,000.00 |
| Mar 31, 2018 | 100,000.00 |
West Pharmaceutical Services Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=WST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=WST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();