Star Fashion Culture Holdings (STFS) Receivables (2023 - 2026)
Star Fashion Culture Holdings (STFS) reported Receivables of $9.23 million for the quarter ended Jun 30, 2026, up 51.2% from $6.1 million a year earlier.
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Analysis
Star Fashion Culture Holdings (STFS) Receivables (2023 - 2026) Analysis & Trends
Dating back to the quarter ended Jun 30, 2023, Star Fashion Culture Holdings' Receivables record includes 6 quarters.
- Receivables has increased for three consecutive years, with a three-year compound annual growth rate of 63.0% (years ended Jun 2023 to Jun 2026).
- By year, Receivables came in at $6.11 million in the year ended Jun 30, 2025 (+7.0%), $5.71 million in the year ended Jun 30, 2024 (+167.8%) and $2.13 million in the year ended Jun 30, 2023.
- Five-year quarterly Receivables spans a low of $2.13 million in the quarter ended Jun 30, 2023 and a high of $9.63 million in the quarter ended Dec 31, 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Fox | 28.13 Bn | 13.77 Bn | - | 3.66 Bn |
| 2 | Omnicom | 23.90 Bn | 5.59 Bn | 1.36 Bn | 14.99 Bn |
| 3 | News | 14.62 Bn | 6.11 Bn | - | 1.76 Bn |
| 4 | New York Times | 11.45 Bn | 8.88 Bn | 395.07 Mn | 248.76 Mn |
| 5 | Pearson | 11.16 Bn | 8.96 Bn | - | 1.46 Bn |
| 6 | Sirius Xm Holdings | 10.73 Bn | 10.18 Bn | 1.43 Bn | 779.00 Mn |
| 7 | Skydance | 8.79 Bn | 8.79 Bn | - | 6.62 Bn |
| 8 | Nexstar Media | 6.17 Bn | 4.79 Bn | 1.20 Bn | 1.55 Bn |
| 9 | Wpp | 5.97 Bn | -6.08 Bn | - | 9.52 Bn |
| 10 | Star Fashion Culture Holdings | 4.86 Mn | 2.54 Mn | - | 9.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.23 Mn |
| Dec 31, 2025 | 9.64 Mn |
| Jun 30, 2025 | 6.10 Mn |
| Dec 31, 2024 | 5.20 Mn |
| Jun 30, 2024 | 5.71 Mn |
| Jun 30, 2023 | 2.13 Mn |
API Access
Star Fashion Culture 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=STFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "STFS", "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=STFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();