Impinj (PI) Return on Sales [ROS] (2015 - 2026)
Impinj (PI) posted Return on Sales [ROS] of 9.69% for Q2 2026, down 1.42 percentage points from 11.11% a year earlier but up 30.12 percentage points from the prior quarter.
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Analysis
Impinj (PI) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Impinj was -1.80%, down 0.95 percentage points year-over-year; for FY2025, it was -0.20%, up 1.73 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +33.68 percentage points (FY2020 to FY2025).
- In prior years, Impinj's Return on Sales [ROS] was -1.93% in FY2024 (+12.21 pp), -14.14% in FY2023 (-6.58 pp), -7.56% in FY2022 (+12.02 pp) and -19.58% in FY2021 (+14.31 pp).
- Quarterly Return on Sales [ROS] has run from a low of -27.38% in Q3 2021 to a high of 11.11% in Q2 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +4.86 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 24.85 percentage points; the weakest was Q3 2023, with a drop of 21.80 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -20.43% (Q1 2026), -2.91% (Q4 2025) and 0.68% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 80.37% |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 11.14% |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 37.39% |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 33.74% |
| 10 | Impinj | 5.66 Bn | 5.03 Bn | 63.53 Mn | 9.69% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.69% |
| Mar 31, 2026 | -20.43% |
| Dec 31, 2025 | -2.91% |
| Sep 30, 2025 | 0.68% |
| Jun 30, 2025 | 11.11% |
| Mar 31, 2025 | -12.88% |
| Dec 31, 2024 | -3.95% |
| Sep 30, 2024 | -0.81% |
| Jun 30, 2024 | 8.83% |
| Mar 31, 2024 | -15.27% |
| Dec 31, 2023 | -21.00% |
| Sep 30, 2023 | -24.36% |
| Jun 30, 2023 | -9.73% |
| Mar 31, 2023 | -5.17% |
| Dec 31, 2022 | 0.07% |
| Sep 30, 2022 | -2.55% |
| Jun 30, 2022 | -14.17% |
| Mar 31, 2022 | -17.53% |
| Dec 31, 2021 | -14.62% |
| Sep 30, 2021 | -27.38% |
API Access
Impinj Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();