Penumbra (PEN) Change in Inventory (2014 - 2026)
Penumbra (PEN) posted Change in Inventory of $5.33 million for Q2 2026, down 53.2% from $11.37 million a year earlier and down 41.0% from the prior quarter.
Penumbra (PEN) Change in Inventory (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Penumbra was $18.69 million, down 71.2% year-over-year; for FY2025, it came in at $26.48 million, down 59.7% from FY2024.
- Annual Change in Inventory has declined for three consecutive years, with a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- In prior years, Penumbra's Change in Inventory was $65.66 million in FY2024 (-3.0%), $67.71 million in FY2023 (-9.3%), $74.63 million in FY2022 (+44.8%) and $51.55 million in FY2021 (-9.5%).
- Quarterly Change in Inventory has run from a low of $630,000 in Q4 2025 to a high of $26.27 million in Q3 2022 over five years.
- On a year-over-year basis, Change in Inventory has declined in each of the last four quarters, with an average decline of 31.7% over the last eight quarters.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q3 2022, with growth of 515.3%; the weakest was Q4 2025, with a decline of 96.8%.
- According to Business Quant data, Change in Inventory for the three prior quarters was $9.02 million (Q1 2026), $630,000 (Q4 2025) and $3.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 23.50 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | - |
| 10 | Penumbra | 12.56 Bn | 10.27 Bn | 264.94 Mn | 5.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.33 Mn |
| Mar 31, 2026 | 9.02 Mn |
| Dec 31, 2025 | 630,000.00 |
| Sep 30, 2025 | 3.72 Mn |
| Jun 30, 2025 | 11.37 Mn |
| Mar 31, 2025 | 10.76 Mn |
| Dec 31, 2024 | 19.67 Mn |
| Sep 30, 2024 | 23.04 Mn |
| Jun 30, 2024 | 11.33 Mn |
| Mar 31, 2024 | 11.62 Mn |
| Dec 31, 2023 | 21.24 Mn |
| Sep 30, 2023 | 20.71 Mn |
| Jun 30, 2023 | 15.12 Mn |
| Mar 31, 2023 | 10.64 Mn |
| Dec 31, 2022 | 12.31 Mn |
| Sep 30, 2022 | 26.27 Mn |
| Jun 30, 2022 | 24.29 Mn |
| Mar 31, 2022 | 11.76 Mn |
| Dec 31, 2021 | 5.74 Mn |
| Sep 30, 2021 | 4.27 Mn |
Penumbra Change in Inventory 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=change-in-inventory&ticker=PEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=PEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();