Sealsq (LAES) Receivables (2021 - 2026)
Sealsq's Receivables came in at $45.81 million for Q2 2026, up 587.6% from $6.66 million a year earlier.
Analysis
Sealsq (LAES) Receivables (2021 - 2026) Analysis & Trends
At the end of FY2025, Sealsq's Receivables was $13.4 million, up 250.2% from FY2024.
- Receivables carries a four-year compound annual growth rate of 50.6% (FY2021 to FY2025).
- Going back by year, Receivables was $3.83 million in FY2024 (-24.3%), $5.05 million in FY2023 (+127.7%), $2.22 million in FY2022 (-14.9%) and $2.61 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2021.
- Year-over-year, Receivables increased in three of the last four quarters, with growth averaging 284.8%.
Peer Set
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 | Sealsq | 69.32 Mn | -1.04 Bn | - | 45.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.81 Mn |
| Dec 31, 2025 | 13.40 Mn |
| Jun 30, 2025 | 6.66 Mn |
| Dec 31, 2024 | 3.83 Mn |
| Jun 30, 2024 | 1.57 Mn |
| Dec 31, 2023 | 5.05 Mn |
| Jun 30, 2023 | 3.47 Mn |
| Dec 31, 2022 | 2.22 Mn |
| Dec 31, 2021 | 2.61 Mn |
API Access
Sealsq 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=LAES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "LAES", "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=LAES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();