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 | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 64.86 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 | 18.17 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Allegro Microsystems | 7.37 Bn | 6.76 Bn | 125.61 Mn | 42.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 42.33 Mn |
| Mar 27, 2026 | 23.18 Mn |
| Dec 26, 2025 | 26.58 Mn |
| Sep 26, 2025 | 22.85 Mn |
| Jun 27, 2025 | 13.48 Mn |
| Mar 28, 2025 | 2.73 Mn |
| Dec 27, 2024 | 16.08 Mn |
| Sep 27, 2024 | 20.06 Mn |
| Jun 28, 2024 | 5.83 Mn |
| Mar 29, 2024 | 37.73 Mn |
| Dec 29, 2023 | 56.88 Mn |
| Sep 29, 2023 | 88.00 Mn |
| Jun 30, 2023 | 85.02 Mn |
| Mar 31, 2023 | 77.21 Mn |
| Dec 23, 2022 | 78.21 Mn |
| Sep 23, 2022 | 72.05 Mn |
| Jun 24, 2022 | 26.66 Mn |
| Mar 25, 2022 | 42.25 Mn |
| Dec 24, 2021 | 47.62 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();