Allegro Microsystems (ALGM) Intangibles (2020 - 2026)
Allegro Microsystems (ALGM) posted Intangibles of $232.86 million for fiscal Q1 2027 (quarter ended Jun 26, 2026), down 9.2% from $256.41 million a year earlier and down 2.4% from the prior quarter.
Allegro Microsystems (ALGM) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 27, 2026), Allegro Microsystems' Intangibles came in at $238.68 million, down 8.9% from FY2025.
- Annual Intangibles shows a five-year compound annual growth rate of 45.7% (FY2021 to FY2026).
- In prior fiscal years, Allegro Microsystems' Intangibles was $262.12 million in FY2025 (-5.3%), $276.85 million in FY2024 (+428.6%), $52.38 million in FY2023 (+45.6%) and $35.97 million in FY2022 (-1.1%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Intangibles since fiscal Q2 2024.
- On a year-over-year basis, Intangibles has declined in each of the last seven quarters, with growth averaging 45.5% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q3 2024, with growth of 452.8%; the weakest was fiscal Q3 2025, with a decline of 10.9%.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $238.68 million (Q4 2026), $244.84 million (Q3 2026) and $250.93 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 3.00 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 761.69 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.33 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 473.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 15.64 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 628.70 Mn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 2.55 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 | 315.00 Mn |
| 10 | Allegro Microsystems | 7.37 Bn | 6.76 Bn | 125.61 Mn | 232.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 232.86 Mn |
| Mar 27, 2026 | 238.68 Mn |
| Dec 26, 2025 | 244.84 Mn |
| Sep 26, 2025 | 250.93 Mn |
| Jun 27, 2025 | 256.41 Mn |
| Mar 28, 2025 | 262.12 Mn |
| Dec 27, 2024 | 261.55 Mn |
| Sep 27, 2024 | 266.75 Mn |
| Jun 28, 2024 | 271.72 Mn |
| Mar 29, 2024 | 276.85 Mn |
| Dec 29, 2023 | 293.70 Mn |
| Sep 29, 2023 | 51.68 Mn |
| Jun 30, 2023 | 51.97 Mn |
| Mar 31, 2023 | 52.38 Mn |
| Dec 23, 2022 | 53.13 Mn |
| Sep 23, 2022 | 52.27 Mn |
| Jun 24, 2022 | 36.14 Mn |
| Mar 25, 2022 | 35.97 Mn |
| Dec 24, 2021 | 35.99 Mn |
| Sep 24, 2021 | 36.13 Mn |
Allegro Microsystems Intangibles 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=intangibles&ticker=ALGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=ALGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();