Microchip Technology (MCHP) EV to EBITDA (2009 - 2026)
Microchip Technology's EV to EBITDA was 33.51 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 24.6% from 44.44 a year earlier but up 13.6% from the prior quarter.
Microchip Technology (MCHP) EV to EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Microchip Technology's EV to EBITDA was 33.02 through Jun 30, 2026, down 22.3% year-over-year; for FY2026 (ended Mar 31, 2026), it was 29.49, up 21.9% from FY2025.
- EV to EBITDA has now increased for three consecutive fiscal years.
- In earlier fiscal years, EV to EBITDA was 24.18 in FY2025 (+74.5%), 13.86 in FY2024 (+25.4%), 11.05 in FY2023 (-20.0%) and 13.81 in FY2022 (-29.5%).
- Quarterly EV to EBITDA has moved between 9.17 (fiscal Q2 2023) and 44.81 (fiscal Q2 2026) over five years.
- Compared with a year earlier, EV to EBITDA was higher in seven of the last eight quarters, with growth averaging 77.0%.
- The best year-over-year quarter for EV to EBITDA over five years was fiscal Q1 2026 (growth of 149.0%); the worst was fiscal Q2 2023 (a decline of 46.6%).
- Per Business Quant data, MCHP's EV to EBITDA in the three fiscal quarters before Q1 2027 was 29.49 (Q4 2026), 39.12 (Q3 2026) and 44.81 (Q2 2026).
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 | Microchip Technology | 44.16 Bn | 43.16 Bn | 938.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.51 |
| Mar 31, 2026 | 29.49 |
| Dec 31, 2025 | 39.12 |
| Sep 30, 2025 | 44.81 |
| Jun 30, 2025 | 44.44 |
| Mar 31, 2025 | 24.18 |
| Dec 31, 2024 | 21.14 |
| Sep 30, 2024 | 21.82 |
| Jun 30, 2024 | 17.85 |
| Mar 31, 2024 | 13.86 |
| Dec 31, 2023 | 11.90 |
| Sep 30, 2023 | 9.59 |
| Jun 30, 2023 | 11.33 |
| Mar 31, 2023 | 11.05 |
| Dec 31, 2022 | 9.88 |
| Sep 30, 2022 | 9.17 |
| Jun 30, 2022 | 9.57 |
| Mar 31, 2022 | 13.81 |
| Dec 31, 2021 | 17.51 |
| Sep 30, 2021 | 17.19 |
Microchip Technology 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=MCHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "MCHP", "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=MCHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();