Power Integrations (POWI) EV to EBITDA (2010 - 2026)
Power Integrations' (POWI) EV to EBITDA stood at 106.22 in Q2 2026, up 93.0% from 55.02 a year earlier and up 31.6% from the prior quarter.
Power Integrations (POWI) EV to EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Power Integrations' EV to EBITDA came in at 88.19 as of Jun 30, 2026, up 132.7% year-over-year; for FY2025, it was 44.92, down 26.4% from FY2024.
- Across earlier years, EV to EBITDA came in at 61.05 in FY2024 (+1.8%), 59.99 in FY2023 (+250.1%), 17.14 in FY2022 (-28.5%) and 23.97 in FY2021 (-46.9%).
- The Q2 2026 figure is the highest quarterly EV to EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EV to EBITDA rose in four of the last eight quarters, with growth averaging 19.3%.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 250.1% in Q4 2023, against a decline of 51.1% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 80.74 (Q1 2026), 44.92 (Q4 2025) and 57.09 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Power Integrations | 3.04 Bn | 2.03 Bn | 64.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.22 |
| Mar 31, 2026 | 80.74 |
| Dec 31, 2025 | 44.92 |
| Sep 30, 2025 | 57.09 |
| Jun 30, 2025 | 55.02 |
| Mar 31, 2025 | 45.17 |
| Dec 31, 2024 | 61.05 |
| Sep 30, 2024 | 68.11 |
| Jun 30, 2024 | 66.31 |
| Mar 31, 2024 | 56.21 |
| Dec 31, 2023 | 59.99 |
| Sep 30, 2023 | 42.63 |
| Jun 30, 2023 | 40.62 |
| Mar 31, 2023 | 26.01 |
| Dec 31, 2022 | 17.14 |
| Sep 30, 2022 | 13.78 |
| Jun 30, 2022 | 16.69 |
| Mar 31, 2022 | 22.58 |
| Dec 31, 2021 | 23.97 |
| Sep 30, 2021 | 28.19 |
Power Integrations 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=POWI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "POWI", "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=POWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();