Penumbra (PEN) Total Liabilities (2014 - 2026)
Penumbra (PEN) reported Total Liabilities of $443.96 million for Q2 2026, up 16.6% from $380.86 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Penumbra (PEN) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Penumbra posted Total Liabilities of $398.92 million, up 4.4% from FY2024.
- Total Liabilities has increased for ten consecutive years, with a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $382.25 million in FY2024 (+1.3%), $377.36 million in FY2023 (+1.4%), $372.03 million in FY2022 (+28.1%) and $290.32 million in FY2021 (+56.8%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2014.
- Year over year, Total Liabilities has now increased in each of the last 16 quarters, with growth averaging 5.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 1.1% in Q1 2025 to 79.8% in Q1 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $424.63 million (Q1 2026), $398.92 million (Q4 2025) and $385.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Penumbra | 12.56 Bn | 10.27 Bn | 264.94 Mn | 443.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 443.96 Mn |
| Mar 31, 2026 | 424.63 Mn |
| Dec 31, 2025 | 398.92 Mn |
| Sep 30, 2025 | 385.67 Mn |
| Jun 30, 2025 | 380.86 Mn |
| Mar 31, 2025 | 380.43 Mn |
| Dec 31, 2024 | 382.25 Mn |
| Sep 30, 2024 | 374.84 Mn |
| Jun 30, 2024 | 373.33 Mn |
| Mar 31, 2024 | 376.31 Mn |
| Dec 31, 2023 | 377.36 Mn |
| Sep 30, 2023 | 364.24 Mn |
| Jun 30, 2023 | 365.99 Mn |
| Mar 31, 2023 | 370.83 Mn |
| Dec 31, 2022 | 372.03 Mn |
| Sep 30, 2022 | 347.85 Mn |
| Jun 30, 2022 | 357.89 Mn |
| Mar 31, 2022 | 342.27 Mn |
| Dec 31, 2021 | 290.32 Mn |
| Sep 30, 2021 | 288.64 Mn |
API Access
Penumbra Total Liabilities 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=total-liabilities&ticker=PEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();