Allegro Microsystems (ALGM) Cash & Equivalents (2019 - 2026)
Allegro Microsystems' Cash & Equivalents came in at $162.03 million for fiscal Q1 2027 (quarter ended Jun 26, 2026), up 25.5% from $129.11 million a year earlier but down 4.0% from the prior quarter.
Allegro Microsystems (ALGM) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 27, 2026), Allegro Microsystems' Cash & Equivalents was $168.75 million, up 39.1% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of -3.1% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $121.33 million in FY2025 (-42.8%), $212.14 million in FY2024 (-39.7%), $351.58 million in FY2023 (+24.5%) and $282.38 million in FY2022 (+43.2%).
- The five-year range for quarterly Cash & Equivalents is $117.49 million (fiscal Q2 2026) to $370.01 million (fiscal Q2 2024).
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with an average decline of 14.2% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q3 2022 (growth of 64.4%), and the weakest in fiscal Q1 2025 (a decline of 51.0%).
- Business Quant data shows ALGM's Cash & Equivalents at $168.75 million (Q4 2026), $155.19 million (Q3 2026) and $117.49 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Allegro Microsystems | 7.37 Bn | 6.76 Bn | 125.61 Mn | 162.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 162.03 Mn |
| Mar 27, 2026 | 168.75 Mn |
| Dec 26, 2025 | 155.19 Mn |
| Sep 26, 2025 | 117.49 Mn |
| Jun 27, 2025 | 129.11 Mn |
| Mar 28, 2025 | 121.33 Mn |
| Dec 27, 2024 | 138.45 Mn |
| Sep 27, 2024 | 188.75 Mn |
| Jun 28, 2024 | 173.14 Mn |
| Mar 29, 2024 | 212.14 Mn |
| Dec 29, 2023 | 214.31 Mn |
| Sep 29, 2023 | 370.01 Mn |
| Jun 30, 2023 | 353.41 Mn |
| Mar 31, 2023 | 351.58 Mn |
| Dec 23, 2022 | 334.31 Mn |
| Sep 23, 2022 | 293.59 Mn |
| Jun 24, 2022 | 286.56 Mn |
| Mar 25, 2022 | 282.38 Mn |
| Dec 24, 2021 | 259.21 Mn |
| Sep 24, 2021 | 248.58 Mn |
Allegro Microsystems Cash & Equivalents 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=cash-and-equivalents&ticker=ALGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ALGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();