Fst (KBSX) Land & Improvements (2024 - 2025)
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Analysis
Fst (KBSX) Land & Improvements (2024 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 16.47 Bn | 14.06 Bn | 1.07 Bn | - |
| 2 | Hasbro | 16.38 Bn | 12.14 Bn | 867.20 Mn | - |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | - |
| 4 | Mattel | 4.88 Bn | 1.56 Bn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.29 Bn | 2.60 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.58 Bn | 34.09 Mn | 306.70 Mn | 7.30 Mn |
| 7 | Peloton Interactive | 2.31 Bn | -2.31 Bn | 344.40 Mn | - |
| 8 | Unusual Machines | 775.83 Mn | 312.32 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 738.09 Mn | 342.09 Mn | 33.74 Mn | - |
| 10 | Fst | 62.22 Mn | 31.63 Mn | 6.01 Mn | - |
API Access
Fst Land & Improvements 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=land-and-improvements&ticker=KBSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "KBSX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=KBSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();