Penumbra (PEN) Receivables (2014 - 2026)
Penumbra (PEN) posted Receivables of $190.41 million for Q2 2026, up 8.5% from $175.54 million a year earlier and up 3.9% from the prior quarter.
Analysis
Penumbra (PEN) Receivables (2014 - 2026) Analysis & Trends
At the end of FY2025, Penumbra's Receivables came in at $190.02 million, up 13.3% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In prior years, Penumbra's Receivables was $167.67 million in FY2024 (-16.9%), $201.77 million in FY2023 (-0.8%), $203.38 million in FY2022 (+51.8%) and $133.94 million in FY2021 (+16.9%).
- The Q2 2026 figure stands as the highest quarterly Receivables since Q2 2024.
- On a year-over-year basis, Receivables has increased in each of the last four quarters, with an average decline of 2.7% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q3 2022, with growth of 57.4%; the weakest was Q4 2024, with a decline of 16.9%.
- According to Business Quant data, Receivables for the three prior quarters was $183.3 million (Q1 2026), $190.02 million (Q4 2025) and $183.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 955.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Penumbra | 12.56 Bn | 10.27 Bn | 264.94 Mn | 190.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 190.41 Mn |
| Mar 31, 2026 | 183.30 Mn |
| Dec 31, 2025 | 190.02 Mn |
| Sep 30, 2025 | 183.43 Mn |
| Jun 30, 2025 | 175.54 Mn |
| Mar 31, 2025 | 167.98 Mn |
| Dec 31, 2024 | 167.67 Mn |
| Sep 30, 2024 | 176.05 Mn |
| Jun 30, 2024 | 200.83 Mn |
| Mar 31, 2024 | 191.99 Mn |
| Dec 31, 2023 | 201.77 Mn |
| Sep 30, 2023 | 206.62 Mn |
| Jun 30, 2023 | 208.97 Mn |
| Mar 31, 2023 | 207.36 Mn |
| Dec 31, 2022 | 203.38 Mn |
| Sep 30, 2022 | 189.01 Mn |
| Jun 30, 2022 | 187.39 Mn |
| Mar 31, 2022 | 143.42 Mn |
| Dec 31, 2021 | 133.94 Mn |
| Sep 30, 2021 | 120.07 Mn |
API Access
Penumbra Receivables 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=receivables&ticker=PEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();