Allegro Microsystems (ALGM) Price to Earnings (2020 - 2026)
Allegro Microsystems' Price to Earnings came in at 759.54 for fiscal Q1 2027 (quarter ended Jun 26, 2026).
Analysis
Allegro Microsystems (ALGM) Price to Earnings (2020 - 2026) Analysis & Trends
For FY2024 (ended Mar 29, 2024), Allegro Microsystems' Price to Earnings was 34.10, down 30.6% from FY2023.
- Going back by fiscal year, Price to Earnings was 49.12 in FY2023 (+5.5%), 46.55 in FY2022 (-60.4%) and 117.46 in FY2021.
- The fiscal Q1 2027 figure represents the highest quarterly Price to Earnings in data going back to fiscal Q3 2021.
- The fastest year-over-year change in Price to Earnings over five years came in fiscal Q1 2025 (growth of 102.0%), and the weakest in fiscal Q1 2023 (a decline of 68.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 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 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 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 |
| 10 | Allegro Microsystems | 7.37 Bn | 6.76 Bn | 125.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 759.54 |
| Jun 28, 2024 | 73.69 |
| Mar 29, 2024 | 34.08 |
| Dec 29, 2023 | 26.33 |
| Sep 29, 2023 | 24.29 |
| Jun 30, 2023 | 36.48 |
| Mar 31, 2023 | 49.10 |
| Dec 23, 2022 | 38.32 |
| Sep 23, 2022 | 34.59 |
| Jun 24, 2022 | 40.17 |
| Mar 25, 2022 | 46.55 |
| Dec 24, 2021 | 63.90 |
| Sep 24, 2021 | 101.44 |
| Jun 25, 2021 | 126.94 |
| Mar 26, 2021 | 117.46 |
| Dec 25, 2020 | 136.38 |
API Access
Allegro Microsystems Price to Earnings 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=price-to-earnings&ticker=ALGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ALGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();