Marwynn Holdings (MWYN) Receivables (2024 - 2026)
Marwynn Holdings (MWYN) reported Receivables of $1.31 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 20.7% from $1.09 million a year earlier and up 71.5% from the prior quarter.
Marwynn Holdings (MWYN) Receivables (2024 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Marwynn Holdings posted Receivables of $764,562, up 96.6% from FY2025.
- By fiscal year, Receivables came in at $388,852 in FY2025 (-71.8%) and $1.38 million in FY2024.
- The fiscal Q1 2027 figure ranks as the highest quarterly Receivables since fiscal Q4 2024.
- Year over year, Receivables gained in two of the last four quarters, with an average decline of 8.5%.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $764,562 (Q4 2026), $224,999 (Q3 2026) and $174,999 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 3.96 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 2.19 Bn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 245.84 Mn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 2.48 Bn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | - |
| 10 | Marwynn Holdings | 46.04 Mn | 44.23 Mn | 235,160.00 | 1.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.31 Mn |
| Apr 30, 2026 | 764,562.00 |
| Jan 31, 2026 | 224,999.00 |
| Oct 31, 2025 | 174,999.00 |
| Jul 31, 2025 | 1.09 Mn |
| Apr 30, 2025 | 388,852.00 |
| Jan 31, 2025 | 1.10 Mn |
| Apr 30, 2024 | 1.38 Mn |
Marwynn Holdings 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=MWYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "MWYN", "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=MWYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();