Lianhe Sowell International (LHSW) Cash & Equivalents (2023 - 2026)
Lianhe Sowell International (LHSW) recorded Cash & Equivalents of $1.89 million in the quarter ended Mar 31, 2026, compared with $108,745 a year earlier.
Lianhe Sowell International (LHSW) Cash & Equivalents (2023 - 2026) Analysis & Trends
Starting with the quarter ended Mar 31, 2023, Lianhe Sowell International's Cash & Equivalents history includes 5 quarters.
- Annual Cash & Equivalents has a three-year compound annual growth rate of 132.3% (years ended Mar 2023 to Mar 2026).
- Across earlier years, Cash & Equivalents came in at $108,745 in the year ended Mar 31, 2025 (-85.5%), $752,007 in the year ended Mar 31, 2024 (+400.3%) and $150,317 in the year ended Mar 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 928.35 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Lianhe Sowell International | 1.57 Mn | -1.16 Mn | - | 1.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.89 Mn |
| Sep 30, 2025 | 90,608.00 |
| Mar 31, 2025 | 108,745.00 |
| Mar 31, 2024 | 752,007.00 |
| Mar 31, 2023 | 150,317.00 |
Lianhe Sowell International 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=LHSW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "LHSW", "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=LHSW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();