Impinj (PI) EV to CFO (2019 - 2026)
Impinj's EV to CFO came in at 59.24 for Q2 2026, down 11.4% from 66.90 a year earlier but up 46.1% from the prior quarter.
Impinj (PI) EV to CFO (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Impinj reported EV to CFO of 52.30, down 7.0% year-over-year; for FY2025, it came in at 86.54, up 179.3% from FY2024.
- Going back by year, EV to CFO was 30.99 in FY2024, 4174.16 in FY2022 and 309.49 in FY2021.
- The five-year range for quarterly EV to CFO is 30.99 (Q4 2024) to 4174.16 (Q4 2022).
- Year-over-year, EV to CFO increased in three of the last six quarters, with growth averaging 43.6%.
- Business Quant data shows PI's EV to CFO at 40.56 (Q1 2026), 86.54 (Q4 2025) and 93.40 (Q3 2025) in the three quarters before Q2 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.24 |
| Mar 31, 2026 | 40.56 |
| Dec 31, 2025 | 86.54 |
| Sep 30, 2025 | 93.40 |
| Jun 30, 2025 | 66.90 |
| Mar 31, 2025 | 43.41 |
| Dec 31, 2024 | 30.99 |
| Sep 30, 2024 | 50.81 |
| Jun 30, 2024 | 39.69 |
| Mar 31, 2024 | 90.50 |
| Dec 31, 2022 | 4,174.16 |
| Sep 30, 2022 | 657.96 |
| Dec 31, 2021 | 309.49 |
| Sep 30, 2021 | 180.90 |
| Jun 30, 2020 | 110.28 |
| Mar 31, 2020 | 35.66 |
| Dec 31, 2019 | 97.29 |
| Sep 30, 2019 | 120.41 |
| Jun 30, 2019 | 88.30 |
Impinj EV to CFO 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-cfo&ticker=PI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=PI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();