Penumbra (PEN) Accumulated Expenses (2014 - 2026)
Penumbra (PEN) recorded Accumulated Expenses of $172.27 million in Q2 2026, up 50.6% from $114.39 million a year earlier and up 13.7% from the prior quarter.
Powered by 
Analysis
Penumbra (PEN) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Penumbra reported Accumulated Expenses of $132.16 million, up 17.6% from FY2024.
- Annual Accumulated Expenses has increased for 11 straight years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $112.43 million in FY2024 (+1.7%), $110.56 million in FY2023 (+4.0%), $106.3 million in FY2022 (+6.5%) and $99.8 million in FY2021 (+16.3%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2014.
- On a year-over-year basis, Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 17.4% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 50.6% in Q2 2026, against a decline of 5.2% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $151.54 million (Q1 2026), $132.16 million (Q4 2025) and $124.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Penumbra | 12.54 Bn | 10.25 Bn | 264.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 172.27 Mn |
| Mar 31, 2026 | 151.54 Mn |
| Dec 31, 2025 | 132.16 Mn |
| Sep 30, 2025 | 124.27 Mn |
| Jun 30, 2025 | 114.39 Mn |
| Mar 31, 2025 | 112.68 Mn |
| Dec 31, 2024 | 112.43 Mn |
| Sep 30, 2024 | 105.55 Mn |
| Jun 30, 2024 | 104.07 Mn |
| Mar 31, 2024 | 106.55 Mn |
| Dec 31, 2023 | 110.56 Mn |
| Sep 30, 2023 | 104.18 Mn |
| Jun 30, 2023 | 105.61 Mn |
| Mar 31, 2023 | 105.87 Mn |
| Dec 31, 2022 | 106.30 Mn |
| Sep 30, 2022 | 101.67 Mn |
| Jun 30, 2022 | 111.41 Mn |
| Mar 31, 2022 | 105.53 Mn |
| Dec 31, 2021 | 99.80 Mn |
| Sep 30, 2021 | 93.22 Mn |
API Access
Penumbra Accumulated Expenses 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=accumulated-expenses&ticker=PEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();