Star Fashion Culture Holdings (STFS) Cash & Equivalents (2023 - 2026)
Star Fashion Culture Holdings' Cash & Equivalents was $69,363 in the quarter ended Jun 30, 2026, up 6.1% from $65,355 a year earlier.
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Analysis
Star Fashion Culture Holdings (STFS) Cash & Equivalents (2023 - 2026) Analysis & Trends
As of Jun 30, 2026, Cash & Equivalents at Star Fashion Culture Holdings came in at $69,450, up 6.1% from the prior year.
- Cash & Equivalents shows a three-year compound annual growth rate of 118.1% (years ended Jun 2023 to Jun 2026).
- In earlier years, Cash & Equivalents was $65,430 in the year ended Jun 30, 2025 (-62.0%), $172,390 in the year ended Jun 30, 2024 and $6,692 in the year ended Jun 30, 2023.
- Quarterly Cash & Equivalents has moved between $6,692 (the quarter ended Jun 30, 2023) and $6.6 million (the quarter ended Dec 31, 2024) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Skydance | 40.81 Bn | 33.65 Bn | 2.37 Bn | 1.38 Bn |
| 2 | Fox | 28.36 Bn | 14.11 Bn | - | 4.54 Bn |
| 3 | Omnicom | 24.24 Bn | 6.32 Bn | 1.36 Bn | 3.80 Bn |
| 4 | News | 14.40 Bn | 7.03 Bn | - | 1.78 Bn |
| 5 | New York Times | 11.56 Bn | 8.99 Bn | 395.07 Mn | 221.35 Mn |
| 6 | Pearson | 10.96 Bn | 8.09 Bn | - | 448.46 Mn |
| 7 | Sirius Xm Holdings | 10.86 Bn | 10.31 Bn | 1.43 Bn | 210.00 Mn |
| 8 | Nexstar Media | 6.37 Bn | 5.01 Bn | 1.20 Bn | 446.00 Mn |
| 9 | Wpp | 6.05 Bn | -5.75 Bn | - | 3.13 Bn |
| 10 | Star Fashion Culture Holdings | 5.62 Mn | -3.23 Mn | - | 69,363.23 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69,363.23 |
| Dec 31, 2025 | 111,334.00 |
| Jun 30, 2025 | 65,354.78 |
| Dec 31, 2024 | 6.60 Mn |
| Jun 30, 2024 | 172,390.05 |
| Jun 30, 2023 | 6,691.72 |
API Access
Star Fashion Culture Holdings 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=STFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=STFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();