Impinj (PI) Operating Expenses (2015 - 2026)
Impinj's Operating Expenses was $53.03 million in Q2 2026, up 15.9% from $45.74 million a year earlier and up 2.7% from the prior quarter.
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Analysis
Impinj (PI) Operating Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Impinj's Operating Expenses was $203.08 million through Jun 30, 2026, up 6.8% year-over-year; for FY2025, it was $190.41 million, down 2.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $195.92 million in FY2024 (+0.2%), $195.47 million in FY2023 (+24.2%), $157.36 million in FY2022 (+15.5%) and $136.2 million in FY2021 (+21.4%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2015.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 2.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 34.1%); the worst was Q2 2024 (a decline of 7.1%).
- Per Business Quant data, PI's Operating Expenses in the three quarters before Q2 2026 was $51.63 million (Q1 2026), $50.75 million (Q4 2025) and $47.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Impinj | 5.66 Bn | 5.03 Bn | 63.53 Mn | 53.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.03 Mn |
| Mar 31, 2026 | 51.63 Mn |
| Dec 31, 2025 | 50.75 Mn |
| Sep 30, 2025 | 47.67 Mn |
| Jun 30, 2025 | 45.74 Mn |
| Mar 31, 2025 | 46.25 Mn |
| Dec 31, 2024 | 49.84 Mn |
| Sep 30, 2024 | 48.34 Mn |
| Jun 30, 2024 | 48.47 Mn |
| Mar 31, 2024 | 49.28 Mn |
| Dec 31, 2023 | 48.71 Mn |
| Sep 30, 2023 | 46.60 Mn |
| Jun 30, 2023 | 52.18 Mn |
| Mar 31, 2023 | 47.97 Mn |
| Dec 31, 2022 | 40.11 Mn |
| Sep 30, 2022 | 39.18 Mn |
| Jun 30, 2022 | 39.98 Mn |
| Mar 31, 2022 | 38.09 Mn |
| Dec 31, 2021 | 36.87 Mn |
| Sep 30, 2021 | 35.39 Mn |
API Access
Impinj Operating 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=operating-expenses&ticker=PI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();