West Pharmaceutical Services (WST) Other Non-Current Liabilities (2009 - 2026)
West Pharmaceutical Services' Other Non-Current Liabilities was $89.9 million in Q2 2026, up 27.7% from $70.4 million a year earlier and up 2.6% from the prior quarter.
West Pharmaceutical Services (WST) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at West Pharmaceutical Services came in at $75.2 million, up 20.9% from FY2024.
- Other Non-Current Liabilities has now increased for six consecutive years, with a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $62.2 million in FY2024 (+6.3%), $58.5 million in FY2023 (+13.4%), $51.6 million in FY2022 (+35.1%) and $38.2 million in FY2021 (+20.1%).
- The Q2 2026 figure marks the highest quarterly Other Non-Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Other Non-Current Liabilities has increased for 19 straight quarters, with growth averaging 18.4% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q3 2023 (growth of 62.5%); the worst was Q3 2021 (a decline of 40.6%).
- Per Business Quant data, WST's Other Non-Current Liabilities in the three quarters before Q2 2026 was $87.6 million (Q1 2026), $75.2 million (Q4 2025) and $75.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | West Pharmaceutical Services | 26.08 Bn | 23.71 Bn | 329.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.90 Mn |
| Mar 31, 2026 | 87.60 Mn |
| Dec 31, 2025 | 75.20 Mn |
| Sep 30, 2025 | 75.30 Mn |
| Jun 30, 2025 | 70.40 Mn |
| Mar 31, 2025 | 65.70 Mn |
| Dec 31, 2024 | 62.20 Mn |
| Sep 30, 2024 | 66.80 Mn |
| Jun 30, 2024 | 63.10 Mn |
| Mar 31, 2024 | 57.90 Mn |
| Dec 31, 2023 | 58.50 Mn |
| Sep 30, 2023 | 55.10 Mn |
| Jun 30, 2023 | 55.10 Mn |
| Mar 31, 2023 | 55.80 Mn |
| Dec 31, 2022 | 51.60 Mn |
| Sep 30, 2022 | 33.90 Mn |
| Jun 30, 2022 | 34.80 Mn |
| Mar 31, 2022 | 38.20 Mn |
| Dec 31, 2021 | 38.20 Mn |
| Sep 30, 2021 | 27.80 Mn |
West Pharmaceutical Services Other 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=other-non-current-liabilities&ticker=WST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=WST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();