Impinj (PI) Cash & Equivalents (2015 - 2026)
Impinj (PI) posted Cash & Equivalents of $38.57 million for Q2 2026, down 9.1% from $42.42 million a year earlier but up 19.4% from the prior quarter.
Impinj (PI) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025, Impinj's Cash & Equivalents came in at $48.21 million, up 4.7% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In prior years, Impinj's Cash & Equivalents was $46.05 million in FY2024 (-51.4%), $94.79 million in FY2023 (+383.7%), $19.6 million in FY2022 (-84.2%) and $123.9 million in FY2021 (+424.2%).
- Quarterly Cash & Equivalents has run from a low of $19.6 million in Q4 2022 to a high of $214.65 million in Q2 2024 over five years.
- On a year-over-year basis, Cash & Equivalents increased in 1 of the last eight quarters, with an average decline of 35.3%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 424.2%; the weakest was Q4 2022, with a decline of 84.2%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $32.3 million (Q1 2026), $48.21 million (Q4 2025) and $51.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Impinj | 5.66 Bn | 5.03 Bn | 63.53 Mn | 38.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.57 Mn |
| Mar 31, 2026 | 32.30 Mn |
| Dec 31, 2025 | 48.21 Mn |
| Sep 30, 2025 | 51.73 Mn |
| Jun 30, 2025 | 42.42 Mn |
| Mar 31, 2025 | 61.32 Mn |
| Dec 31, 2024 | 46.05 Mn |
| Sep 30, 2024 | 73.70 Mn |
| Jun 30, 2024 | 214.65 Mn |
| Mar 31, 2024 | 166.85 Mn |
| Dec 31, 2023 | 94.79 Mn |
| Sep 30, 2023 | 78.10 Mn |
| Jun 30, 2023 | 45.24 Mn |
| Mar 31, 2023 | 37.48 Mn |
| Dec 31, 2022 | 19.60 Mn |
| Sep 30, 2022 | 39.31 Mn |
| Jun 30, 2022 | 32.58 Mn |
| Mar 31, 2022 | 63.54 Mn |
| Dec 31, 2021 | 123.90 Mn |
| Sep 30, 2021 | 65.19 Mn |
Impinj Cash & Equivalents 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=cash-and-equivalents&ticker=PI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "PI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=PI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();