Allegro Microsystems (ALGM) Other Accumulated Expenses (2020 - 2026)
Allegro Microsystems (ALGM) posted Other Accumulated Expenses of $9.68 million for fiscal Q4 2023 (quarter ended Mar 31, 2023), up 85.4% from $5.22 million a year earlier and up 71.1% from the prior quarter.
Allegro Microsystems (ALGM) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
Since fiscal Q4 2020, Allegro Microsystems has reported Other Accumulated Expenses for 12 quarters.
- Annual Other Accumulated Expenses shows a three-year compound annual growth rate of 29.2% (FY2020 to FY2023).
- In prior fiscal years, Allegro Microsystems' Other Accumulated Expenses was $5.22 million in FY2022 (+121.9%), $2.35 million in FY2021 (-47.6%) and $4.49 million in FY2020.
- The fiscal Q4 2023 figure stands as the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2020.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last seven quarters, with growth averaging 86.2% over the last seven quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q2 2022, with growth of 218.6%; the weakest was fiscal Q4 2021, with a decline of 47.6%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $5.66 million (Q3 2023), $4.71 million (Q2 2023) and $4.7 million (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Allegro Microsystems | 5.62 Bn | 4.94 Bn | 136.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 3.64 Mn |
| Jun 26, 2026 | 4.61 Mn |
| Mar 27, 2026 | 4.79 Mn |
| Dec 26, 2025 | 4.75 Mn |
| Sep 26, 2025 | 3.26 Mn |
| Jun 27, 2025 | 2.90 Mn |
| Mar 28, 2025 | 6.54 Mn |
| Dec 27, 2024 | 2.10 Mn |
| Sep 27, 2024 | 5.55 Mn |
| Jun 28, 2024 | 4.90 Mn |
| Mar 29, 2024 | 1.63 Mn |
| Dec 29, 2023 | 3.16 Mn |
| Sep 29, 2023 | 3.04 Mn |
| Jun 30, 2023 | 6.47 Mn |
| Mar 31, 2023 | 9.68 Mn |
| Dec 23, 2022 | 5.66 Mn |
| Sep 23, 2022 | 4.71 Mn |
| Jun 24, 2022 | 4.70 Mn |
| Mar 25, 2022 | 5.22 Mn |
| Dec 24, 2021 | 4.05 Mn |
Allegro Microsystems Other Accumulated 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=other-accumulated-expenses&ticker=ALGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=ALGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();