Allegro Microsystems (ALGM) EV to EBITDA (2020 - 2026)
Allegro Microsystems' (ALGM) EV to EBITDA came in at 92.45 for fiscal Q1 2027 (quarter ended Jun 26, 2026), down 21.9% from 118.32 a year earlier but up 46.9% from the prior quarter.
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Analysis
Allegro Microsystems (ALGM) EV to EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 26, 2026, EV to EBITDA at Allegro Microsystems was 88.61, down 19.3% year-over-year; for FY2026 (ended Mar 27, 2026), it was 62.92, down 37.0% from FY2025.
- In prior fiscal years, Allegro Microsystems' EV to EBITDA was 99.81 in FY2025 (+434.6%), 18.67 in FY2024 (-46.4%), 34.83 in FY2023 (+22.2%) and 28.50 in FY2022 (-9.9%).
- Quarterly EV to EBITDA has run from a low of 17.59 in fiscal Q2 2024 to a high of 118.32 in fiscal Q1 2026 over five years.
- On a year-over-year basis, EV to EBITDA increased in six of the last eight quarters, with growth averaging 149.0%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q4 2025, with growth of 434.6%; the weakest was fiscal Q2 2023, with a decline of 62.8%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 62.92 (Q4 2026), 73.49 (Q3 2026) and 97.64 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn |
| 10 | Allegro Microsystems | 5.87 Bn | 5.26 Bn | 125.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 91.17 |
| Mar 27, 2026 | 61.32 |
| Dec 26, 2025 | 70.61 |
| Sep 26, 2025 | 92.48 |
| Jun 27, 2025 | 112.59 |
| Mar 28, 2025 | 94.50 |
| Dec 27, 2024 | 48.52 |
| Sep 27, 2024 | 35.12 |
| Jun 28, 2024 | 27.95 |
| Mar 29, 2024 | 18.63 |
| Dec 29, 2023 | 18.32 |
| Sep 29, 2023 | 17.59 |
| Jun 30, 2023 | 26.65 |
| Mar 31, 2023 | 34.82 |
| Dec 23, 2022 | 24.88 |
| Sep 23, 2022 | 20.35 |
| Jun 24, 2022 | 22.75 |
| Mar 25, 2022 | 28.48 |
| Dec 24, 2021 | 36.03 |
| Sep 24, 2021 | 54.63 |
API Access
Allegro Microsystems 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=ALGM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "ALGM", "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=ALGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();