Penumbra (PEN) Total Non-Current Liabilities (2014 - 2026)
Penumbra (PEN) reported Total Non-Current Liabilities of $426.12 million for Q3 2026, up 14.8% from $371.14 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Penumbra (PEN) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Penumbra posted Total Non-Current Liabilities of $386.6 million, up 5.3% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $367.14 million in FY2024 (-1.3%), $372.05 million in FY2023 (+0.9%), $368.75 million in FY2022 (+28.6%) and $286.77 million in FY2021 (+61.8%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $286.77 million in Q4 2021 and a high of $429.71 million in Q2 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last five quarters, with growth averaging 6.2% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2022 (growth of 85.7%); the low point was Q1 2025 (a decline of 1.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $429.71 million (Q2 2026), $411.38 million (Q1 2026) and $386.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Penumbra | 12.67 Bn | 10.17 Bn | 280.30 Mn | 426.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 426.12 Mn |
| Jun 30, 2026 | 429.71 Mn |
| Mar 31, 2026 | 411.38 Mn |
| Dec 31, 2025 | 386.60 Mn |
| Sep 30, 2025 | 371.14 Mn |
| Jun 30, 2025 | 363.04 Mn |
| Mar 31, 2025 | 364.48 Mn |
| Dec 31, 2024 | 367.14 Mn |
| Sep 30, 2024 | 365.39 Mn |
| Jun 30, 2024 | 365.71 Mn |
| Mar 31, 2024 | 370.44 Mn |
| Dec 31, 2023 | 372.05 Mn |
| Sep 30, 2023 | 360.97 Mn |
| Jun 30, 2023 | 362.70 Mn |
| Mar 31, 2023 | 367.59 Mn |
| Dec 31, 2022 | 368.75 Mn |
| Sep 30, 2022 | 344.55 Mn |
| Jun 30, 2022 | 354.41 Mn |
| Mar 31, 2022 | 338.66 Mn |
| Dec 31, 2021 | 286.77 Mn |
API Access
Penumbra Total Non-Current 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-non-current-liabilities&ticker=PEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();