Penumbra (PEN) Depreciation & Amortization (CF) (2014 - 2026)
Penumbra's Depreciation & Amortization (CF) was $5.62 million in Q2 2026, up 2.0% from $5.51 million a year earlier and up 22.8% from the prior quarter.
Penumbra (PEN) Depreciation & Amortization (CF) (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Penumbra's Depreciation & Amortization (CF) was $17.14 million through Jun 30, 2026, down 10.1% year-over-year; for FY2025, it was $17.47 million, down 26.3% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $23.7 million in FY2024 (-13.0%), $27.26 million in FY2023 (+12.1%), $24.32 million in FY2022 (+48.2%) and $16.41 million in FY2021 (+27.3%).
- The Q2 2026 figure marks the highest quarterly Depreciation & Amortization (CF) since Q2 2024.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in two of the last eight quarters, with an average decline of 23.0%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q3 2022 (growth of 71.3%); the worst was Q3 2024 (a decline of 40.2%).
- Per Business Quant data, PEN's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $4.57 million (Q1 2026), $4.46 million (Q4 2025) and $2.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Penumbra | 12.54 Bn | 10.25 Bn | 264.94 Mn | 5.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.62 Mn |
| Mar 31, 2026 | 4.57 Mn |
| Dec 31, 2025 | 4.46 Mn |
| Sep 30, 2025 | 2.49 Mn |
| Jun 30, 2025 | 5.51 Mn |
| Mar 31, 2025 | 5.02 Mn |
| Dec 31, 2024 | 4.39 Mn |
| Sep 30, 2024 | 4.15 Mn |
| Jun 30, 2024 | 7.65 Mn |
| Mar 31, 2024 | 7.52 Mn |
| Dec 31, 2023 | 7.04 Mn |
| Sep 30, 2023 | 6.93 Mn |
| Jun 30, 2023 | 6.71 Mn |
| Mar 31, 2023 | 6.58 Mn |
| Dec 31, 2022 | 6.44 Mn |
| Sep 30, 2022 | 6.23 Mn |
| Jun 30, 2022 | 5.93 Mn |
| Mar 31, 2022 | 5.73 Mn |
| Dec 31, 2021 | 5.75 Mn |
| Sep 30, 2021 | 3.63 Mn |
Penumbra Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=PEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=PEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();