West Pharmaceutical Services (WST) Total Debt (2009 - 2026)
West Pharmaceutical Services (WST) posted Total Debt of $202.9 million for Q3 2026, up 0.1% from $202.7 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 -4.5% (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 (-17.4%) and $253 million in FY2021 (-0.9%).
- Quarterly Total Debt has run from a low of $202.6 million in Q3 2024 to a high of $254.7 million in Q1 2022 over five years.
- On a year-over-year basis, Total Debt has increased in each of the last four quarters, with an average decline of 0.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q2 2026, with growth of 0.1%; the weakest was Q2 2023, with a decline of 18.3%.
- According to Business Quant data, Total Debt for the three prior quarters was $202.9 million (Q2 2026), $202.8 million (Q1 2026) and $202.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 41.37 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 31.16 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 26.48 Bn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 14.93 Bn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 11.95 Bn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 598.80 Mn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 16.81 Bn |
| 10 | West Pharmaceutical Services | 29.14 Bn | 26.93 Bn | 347.40 Mn | 202.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 202.90 Mn |
| 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 | 207.80 Mn |
| Mar 31, 2023 | 208.30 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 | 253.00 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();