Allegro Microsystems (ALGM) Receivables (2020 - 2026)
Allegro Microsystems (ALGM) posted Receivables of $110.92 million for fiscal Q1 2027 (quarter ended Jun 26, 2026), up 24.1% from $89.38 million a year earlier but down 3.5% from the prior quarter.
Allegro Microsystems (ALGM) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 27, 2026), Allegro Microsystems' Receivables came in at $114.98 million, up 31.9% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- In prior fiscal years, Allegro Microsystems' Receivables was $87.16 million in FY2025 (-28.1%), $121.21 million in FY2024 (-2.7%), $124.54 million in FY2023 (+8.6%) and $114.72 million in FY2022 (+22.9%).
- Quarterly Receivables has run from a low of $67.11 million in fiscal Q1 2025 to a high of $128.3 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Receivables has increased in each of the last five quarters, with growth averaging 6.4% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q2 2026, with growth of 37.4%; the weakest was fiscal Q1 2025, with a decline of 46.4%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $114.98 million (Q4 2026), $99.65 million (Q3 2026) and $105.77 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Allegro Microsystems | 7.37 Bn | 6.76 Bn | 125.61 Mn | 110.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 110.92 Mn |
| Mar 27, 2026 | 114.98 Mn |
| Dec 26, 2025 | 99.65 Mn |
| Sep 26, 2025 | 105.77 Mn |
| Jun 27, 2025 | 89.38 Mn |
| Mar 28, 2025 | 87.16 Mn |
| Dec 27, 2024 | 83.81 Mn |
| Sep 27, 2024 | 76.99 Mn |
| Jun 28, 2024 | 67.11 Mn |
| Mar 29, 2024 | 121.21 Mn |
| Dec 29, 2023 | 118.07 Mn |
| Sep 29, 2023 | 122.70 Mn |
| Jun 30, 2023 | 125.26 Mn |
| Mar 31, 2023 | 113.23 Mn |
| Dec 23, 2022 | 128.30 Mn |
| Sep 23, 2022 | 119.20 Mn |
| Jun 24, 2022 | 121.66 Mn |
| Mar 25, 2022 | 114.62 Mn |
| Dec 24, 2021 | 104.54 Mn |
| Sep 24, 2021 | 97.82 Mn |
Allegro Microsystems Receivables 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=receivables&ticker=ALGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ALGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();