Impinj (PI) EV to EBITDA (2016 - 2026)
Impinj's (PI) EV to EBITDA was 480.05 for Q2 2026, up 71.2% from 280.40 a year earlier and up 44.6% from the prior quarter.
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Analysis
Impinj (PI) EV to EBITDA (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Impinj's EV to EBITDA came in at 423.78, up 79.7% year-over-year; for FY2025, it came in at 355.42, down 41.7% from FY2024.
- By year, EV to EBITDA came in at 609.88 in FY2024.
- The Q2 2026 figure ranks as the highest quarterly EV to EBITDA since Q4 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at 331.89 (Q1 2026), 355.42 (Q4 2025) and 408.31 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn |
| 10 | Impinj | 5.66 Bn | 5.03 Bn | 63.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 480.05 |
| Mar 31, 2026 | 331.89 |
| Dec 31, 2025 | 355.42 |
| Sep 30, 2025 | 408.31 |
| Jun 30, 2025 | 280.40 |
| Mar 31, 2025 | 298.46 |
| Dec 31, 2024 | 609.88 |
| Jun 30, 2017 | 595.49 |
| Mar 31, 2017 | 224.08 |
| Dec 31, 2016 | 117.75 |
| Sep 30, 2016 | 202.70 |
API Access
Impinj EV to EBITDA 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=ev-to-ebitda&ticker=PI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=PI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();