Impinj (PI) Other Operating Expenses (2015 - 2026)
Impinj (PI) recorded Other Operating Expenses of $41.36 million in Q3 2026, up 16.1% from $35.64 million a year earlier and up 4.4% from the prior quarter.
Impinj (PI) Other Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Impinj's Other Operating Expenses came in at $157.83 million as of Sep 30, 2026, up 12.4% year-over-year; for FY2025, it was $141.22 million, down 0.8% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $142.31 million in FY2024 (+5.7%), $134.64 million in FY2023 (+20.2%), $112 million in FY2022 (+13.9%) and $98.35 million in FY2021 (+27.3%).
- The Q3 2026 figure is the highest quarterly Other Operating Expenses in data going back to Q2 2015.
- On a year-over-year basis, Other Operating Expenses has increased for four consecutive quarters, with growth averaging 7.6% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 29.3% in Q2 2023, against a decline of 3.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.63 million (Q2 2026), $39.02 million (Q1 2026) and $37.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Impinj | 5.20 Bn | 4.65 Bn | 59.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.78 Mn |
| Jun 30, 2026 | 10.36 Mn |
| Mar 31, 2026 | 10.29 Mn |
| Mar 31, 2024 | 45.00 Mn |
| Dec 31, 2023 | 11.84 Mn |
| Sep 30, 2023 | 11.48 Mn |
| Jun 30, 2023 | 12.78 Mn |
| Mar 31, 2023 | 9.97 Mn |
| Dec 31, 2022 | 9.55 Mn |
| Sep 30, 2022 | 9.33 Mn |
| Jun 30, 2022 | 9.61 Mn |
| Mar 31, 2022 | 9.30 Mn |
| Dec 31, 2021 | 9.71 Mn |
| Sep 30, 2021 | 8.74 Mn |
| Jun 30, 2021 | 8.20 Mn |
| Mar 31, 2021 | 7.65 Mn |
| Dec 31, 2020 | 8.09 Mn |
| Jun 30, 2020 | 5.36 Mn |
| Mar 31, 2020 | 6.32 Mn |
| Dec 31, 2019 | 8.06 Mn |
Impinj Other 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=other-operating-expenses&ticker=PI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=PI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();