West Pharmaceutical Services (WST) Total Debt (2009 - 2026)
West Pharmaceutical Services (WST) posted Total Debt of $202.9 million for Q2 2026, up 0.1% from $202.6 million a year earlier and unchanged from the prior quarter.
West Pharmaceutical Services (WST) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, West Pharmaceutical Services' Total Debt came in at $202.8 million, up 0.1% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- In prior years, West Pharmaceutical Services' Total Debt was $202.6 million in FY2024 (-2.0%), $206.8 million in FY2023 (-1.0%), $208.9 million in FY2022 (-29.7%) and $297.2 million in FY2021 (+15.4%).
- The Q2 2026 figure stands as the highest quarterly Total Debt since Q2 2024.
- On a year-over-year basis, Total Debt has increased in each of the last three quarters, with an average decline of 1.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q4 2021, with growth of 15.4%; the weakest was Q4 2022, with a decline of 29.7%.
- According to Business Quant data, Total Debt for the three prior quarters was $202.8 million (Q1 2026), $202.8 million (Q4 2025) and $202.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 16.81 Bn |
| 10 | West Pharmaceutical Services | 26.52 Bn | 24.14 Bn | 329.20 Mn | 202.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 202.90 Mn |
| Mar 31, 2026 | 202.80 Mn |
| Dec 31, 2025 | 202.80 Mn |
| Sep 30, 2025 | 202.70 Mn |
| Jun 30, 2025 | 202.60 Mn |
| Mar 31, 2025 | 202.60 Mn |
| Dec 31, 2024 | 202.60 Mn |
| Sep 30, 2024 | 202.60 Mn |
| Jun 30, 2024 | 205.80 Mn |
| Mar 31, 2024 | 206.20 Mn |
| Dec 31, 2023 | 206.80 Mn |
| Sep 30, 2023 | 209.50 Mn |
| Jun 30, 2023 | 210.00 Mn |
| Mar 31, 2023 | 210.50 Mn |
| Dec 31, 2022 | 208.90 Mn |
| Sep 30, 2022 | 209.40 Mn |
| Jun 30, 2022 | 254.20 Mn |
| Mar 31, 2022 | 254.70 Mn |
| Dec 31, 2021 | 297.20 Mn |
| Sep 30, 2021 | 254.10 Mn |
West Pharmaceutical Services Total Debt 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-debt&ticker=WST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=WST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();