Allegro Microsystems (ALGM) Operating Expenses (2019 - 2026)
Allegro Microsystems (ALGM) recorded Operating Expenses of $100.14 million in fiscal Q1 2027 (quarter ended Jun 26, 2026), up 6.5% from $94.04 million a year earlier but down 8.0% from the prior quarter.
Allegro Microsystems (ALGM) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Allegro Microsystems' Operating Expenses came in at $399.58 million as of Jun 26, 2026, up 14.2% year-over-year; for FY2026 (ended Mar 27, 2026), it was $393.48 million, up 15.3% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 8.1% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $341.33 million in FY2025 (-9.8%), $378.29 million in FY2024 (+10.4%), $342.77 million in FY2023 (+26.6%) and $270.81 million in FY2022 (+1.5%).
- Quarterly Operating Expenses has ranged from $63.98 million in fiscal Q2 2022 to $108.87 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 67.4% in fiscal Q1 2023, against a decline of 33.5% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $108.87 million (Q4 2026), $97.53 million (Q3 2026) and $93.05 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Allegro Microsystems | 7.37 Bn | 6.76 Bn | 125.61 Mn | 100.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 100.14 Mn |
| Mar 27, 2026 | 108.87 Mn |
| Dec 26, 2025 | 97.53 Mn |
| Sep 26, 2025 | 93.05 Mn |
| Jun 27, 2025 | 94.04 Mn |
| Mar 28, 2025 | 93.08 Mn |
| Dec 27, 2024 | 81.26 Mn |
| Sep 27, 2024 | 81.60 Mn |
| Jun 28, 2024 | 85.40 Mn |
| Mar 29, 2024 | 107.35 Mn |
| Dec 29, 2023 | 97.14 Mn |
| Sep 29, 2023 | 86.59 Mn |
| Jun 30, 2023 | 87.20 Mn |
| Mar 31, 2023 | 89.99 Mn |
| Dec 23, 2022 | 76.97 Mn |
| Sep 23, 2022 | 72.18 Mn |
| Jun 24, 2022 | 103.64 Mn |
| Mar 25, 2022 | 79.35 Mn |
| Dec 24, 2021 | 65.56 Mn |
| Sep 24, 2021 | 63.98 Mn |
Allegro Microsystems Operating Expenses 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=operating-expenses&ticker=ALGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ALGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();