Penumbra (PEN) Accumulated Expenses (2014 - 2026)
Penumbra (PEN) recorded Accumulated Expenses of $174.77 million in Q3 2026, up 40.6% from $124.27 million a year earlier and up 1.4% from the prior quarter.
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 Q3 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 nine consecutive quarters, with growth averaging 22.3% 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 $172.27 million (Q2 2026), $151.54 million (Q1 2026) and $132.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Penumbra | 12.67 Bn | 10.17 Bn | 280.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 174.77 Mn |
| 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 |
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_KEY
import 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();