West Pharmaceutical Services (WST) Total Non-Current Liabilities (2009 - 2026)
West Pharmaceutical Services (WST) reported Total Non-Current Liabilities of $996.3 million for Q2 2026, up 4.5% from $953.3 million a year earlier but down 3.4% from the prior quarter.
West Pharmaceutical Services (WST) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, West Pharmaceutical Services posted Total Non-Current Liabilities of $1.02 billion, up 13.3% from FY2024.
- Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $898.9 million in FY2024 (+1.0%), $890 million in FY2023 (+1.1%), $880.3 million in FY2022 (-6.4%) and $940.2 million in FY2021 (+3.6%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $812.1 million in Q3 2022 and a high of $1.03 billion in Q1 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last eight quarters, with growth averaging 8.5% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2026 (growth of 18.7%); the low point was Q3 2022 (a decline of 11.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.03 billion (Q1 2026), $1.02 billion (Q4 2025) and $979 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | West Pharmaceutical Services | 27.96 Bn | 25.58 Bn | 329.20 Mn | 982.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 982.40 Mn |
| Mar 31, 2026 | 1.02 Bn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 965.50 Mn |
| Jun 30, 2025 | 940.80 Mn |
| Mar 31, 2025 | 858.00 Mn |
| Dec 31, 2024 | 883.50 Mn |
| Sep 30, 2024 | 841.00 Mn |
| Jun 30, 2024 | 834.00 Mn |
| Mar 31, 2024 | 845.20 Mn |
| Dec 31, 2023 | 871.40 Mn |
| Sep 30, 2023 | 813.50 Mn |
| Jun 30, 2023 | 847.20 Mn |
| Mar 31, 2023 | 872.60 Mn |
| Dec 31, 2022 | 861.20 Mn |
| Sep 30, 2022 | 792.90 Mn |
| Jun 30, 2022 | 881.10 Mn |
| Mar 31, 2022 | 904.00 Mn |
| Dec 31, 2021 | 911.30 Mn |
| Sep 30, 2021 | 885.60 Mn |
West Pharmaceutical Services Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=WST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=WST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();