Penumbra (PEN) Change in Accrued Expenses (2014 - 2026)
Penumbra's Change in Accrued Expenses was $6.18 million in Q3 2026, up 16.1% from $5.32 million a year earlier but down 65.3% from the prior quarter.
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Analysis
Penumbra (PEN) Change in Accrued Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Penumbra's Change in Accrued Expenses was $43.01 million through Sep 30, 2026, up 74.0% year-over-year; for FY2025, it was $12.91 million, down 8.2% from FY2024.
- Change in Accrued Expenses shows a five-year compound annual growth rate of -11.1% (FY2020 to FY2025).
- In earlier years, Change in Accrued Expenses was $14.06 million in FY2024 (+126.0%), $6.22 million in FY2023 (-41.0%), $10.54 million in FY2022 (-38.3%) and $17.08 million in FY2021 (-26.6%).
- Quarterly Change in Accrued Expenses has moved between -$9.49 million (Q3 2022) and $17.81 million (Q2 2026) over five years.
- Compared with a year earlier, Change in Accrued Expenses was higher in four of the last five quarters, with growth averaging 137.5%.
- The best year-over-year quarter for Change in Accrued Expenses over five years was Q3 2025 (growth of 384.3%); the worst was Q2 2023 (a decline of 93.2%).
- Per Business Quant data, PEN's Change in Accrued Expenses in the three quarters before Q3 2026 was $17.81 million (Q2 2026), $16.94 million (Q1 2026) and $2.08 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | 30.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Penumbra | 12.67 Bn | 10.17 Bn | 280.30 Mn | 6.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.18 Mn |
| Jun 30, 2026 | 17.81 Mn |
| Mar 31, 2026 | 16.94 Mn |
| Dec 31, 2025 | 2.08 Mn |
| Sep 30, 2025 | 5.32 Mn |
| Jun 30, 2025 | 4.94 Mn |
| Mar 31, 2025 | 574,000.00 |
| Dec 31, 2024 | 13.89 Mn |
| Sep 30, 2024 | 1.10 Mn |
| Jun 30, 2024 | 87,000.00 |
| Mar 31, 2024 | -1.02 Mn |
| Dec 31, 2023 | 6.57 Mn |
| Sep 30, 2023 | -1.99 Mn |
| Jun 30, 2023 | 504,000.00 |
| Mar 31, 2023 | 1.13 Mn |
| Dec 31, 2022 | 4.38 Mn |
| Sep 30, 2022 | -9.49 Mn |
| Jun 30, 2022 | 7.41 Mn |
| Mar 31, 2022 | 8.25 Mn |
| Dec 31, 2021 | 7.27 Mn |
API Access
Penumbra Change in Accrued 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=change-in-accured-expenses&ticker=PEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();