Penumbra (PEN) Property, Plant & Equipment (Net) (2014 - 2026)
Penumbra (PEN) posted Property, Plant & Equipment (Net) of $146.72 million for Q2 2026, up 73.0% from $84.83 million a year earlier and up 9.4% from the prior quarter.
Penumbra (PEN) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
At the end of FY2025, Penumbra's Property, Plant & Equipment (Net) came in at $117.44 million, up 87.5% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- In prior years, Penumbra's Property, Plant & Equipment (Net) was $62.64 million in FY2024 (-13.8%), $72.69 million in FY2023 (+11.8%), $65.02 million in FY2022 (+10.5%) and $58.86 million in FY2021 (+22.2%).
- The Q2 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2014.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last five quarters, with growth averaging 41.1% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q4 2025, with growth of 87.5%; the weakest was Q4 2024, with a decline of 13.8%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $134.06 million (Q1 2026), $117.44 million (Q4 2025) and $97.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Penumbra | 12.51 Bn | 10.22 Bn | 264.94 Mn | 146.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.72 Mn |
| Mar 31, 2026 | 134.06 Mn |
| Dec 31, 2025 | 117.44 Mn |
| Sep 30, 2025 | 97.73 Mn |
| Jun 30, 2025 | 84.83 Mn |
| Mar 31, 2025 | 72.47 Mn |
| Dec 31, 2024 | 62.64 Mn |
| Sep 30, 2024 | 59.92 Mn |
| Jun 30, 2024 | 57.71 Mn |
| Mar 31, 2024 | 75.74 Mn |
| Dec 31, 2023 | 72.69 Mn |
| Sep 30, 2023 | 65.63 Mn |
| Jun 30, 2023 | 65.96 Mn |
| Mar 31, 2023 | 65.22 Mn |
| Dec 31, 2022 | 65.02 Mn |
| Sep 30, 2022 | 64.08 Mn |
| Jun 30, 2022 | 63.46 Mn |
| Mar 31, 2022 | 60.33 Mn |
| Dec 31, 2021 | 58.86 Mn |
| Sep 30, 2021 | 56.63 Mn |
Penumbra Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PEN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=PEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();