Allegro Microsystems (ALGM) EBITDA (2019 - 2026)
Allegro Microsystems (ALGM) posted EBITDA of $42.33 million for fiscal Q1 2027 (quarter ended Jun 26, 2026), up 214.1% from $13.48 million a year earlier and up 82.7% from the prior quarter.
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Analysis
Allegro Microsystems (ALGM) EBITDA (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 26, 2026, EBITDA at Allegro Microsystems was $114.94 million, up 119.6% year-over-year; for FY2026 (ended Mar 27, 2026), it was $86.08 million, up 92.6% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of 7.3% (FY2021 to FY2026).
- In prior fiscal years, Allegro Microsystems' EBITDA was $44.7 million in FY2025 (-83.3%), $267.63 million in FY2024 (+5.3%), $254.12 million in FY2023 (+37.2%) and $185.18 million in FY2022 (+206.3%).
- The fiscal Q1 2027 figure stands as the highest quarterly EBITDA since fiscal Q3 2024.
- On a year-over-year basis, EBITDA has increased in each of the last five quarters, with growth averaging 116.6% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2026, with growth of 750.1%; the weakest was fiscal Q1 2025, with a decline of 93.1%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $23.18 million (Q4 2026), $26.58 million (Q3 2026) and $22.85 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn | 64.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn | 30.46 Bn |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn | 18.23 Bn |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn | 46.39 Bn |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn | - |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn | 3.23 Bn |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn | 3.41 Bn |
| 10 | Allegro Microsystems | 5.87 Bn | 5.26 Bn | 125.61 Mn | 42.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 42.63 Mn |
| Mar 27, 2026 | 23.47 Mn |
| Dec 26, 2025 | 26.87 Mn |
| Sep 26, 2025 | 23.57 Mn |
| Jun 27, 2025 | 14.41 Mn |
| Mar 28, 2025 | 3.46 Mn |
| Dec 27, 2024 | 16.78 Mn |
| Sep 27, 2024 | 20.37 Mn |
| Jun 28, 2024 | 6.61 Mn |
| Mar 29, 2024 | 37.97 Mn |
| Dec 29, 2023 | 57.07 Mn |
| Sep 29, 2023 | 88.07 Mn |
| Jun 30, 2023 | 85.05 Mn |
| Mar 31, 2023 | 77.23 Mn |
| Dec 23, 2022 | 78.23 Mn |
| Sep 23, 2022 | 72.07 Mn |
| Jun 24, 2022 | 26.68 Mn |
| Mar 25, 2022 | 42.28 Mn |
| Dec 24, 2021 | 47.67 Mn |
| Sep 24, 2021 | 50.89 Mn |
API Access
Allegro Microsystems 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=ebitda&ticker=ALGM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=ALGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();