Fst (KBSX) Price to Book (2023 - 2026)
Fst's Price to Book came in at 4.46 for the quarter ended Sep 30, 2026, down 12.5% from 5.09 a year earlier but up 67.1% from the prior quarter.
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Analysis
Fst (KBSX) Price to Book (2023 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Fst's Price to Book was 4.03, down 74.5% from the prior year.
- Going back by year, Price to Book was 15.81 in the year ended Dec 31, 2024 (-27.8%) and 21.89 in the year ended Dec 31, 2023.
- The five-year range for quarterly Price to Book is 2.67 (the quarter ended Jun 30, 2026) to 21.89 (the quarter ended Dec 31, 2023).
- Business Quant data shows KBSX's Price to Book at 2.67 (quarter ended Jun 30, 2026), 3.50 (quarter ended Mar 31, 2026) and 4.03 (quarter ended Dec 31, 2025) in the three quarters before the quarter ended Sep 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 18.10 Bn | 15.69 Bn | 1.07 Bn |
| 2 | Hasbro | 17.03 Bn | 11.99 Bn | 1.21 Bn |
| 3 | Acushnet Holdings | 5.01 Bn | 4.74 Bn | 321.99 Mn |
| 4 | Mattel | 4.52 Bn | 1.20 Bn | 542.12 Mn |
| 5 | YETI Holdings | 3.43 Bn | 2.88 Bn | 322.52 Mn |
| 6 | Callaway Golf | 3.12 Bn | 1.01 Bn | 226.70 Mn |
| 7 | Peloton Interactive | 2.61 Bn | -2.24 Bn | 342.60 Mn |
| 8 | Sturm Ruger | 810.86 Mn | 394.30 Mn | 30.52 Mn |
| 9 | Smith & Wesson Brands | 677.49 Mn | 589.75 Mn | 32.27 Mn |
| 10 | Fst | 62.27 Mn | 33.37 Mn | 6.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.46 |
| Jun 30, 2026 | 2.67 |
| Mar 31, 2026 | 3.50 |
| Dec 31, 2025 | 4.03 |
| Sep 30, 2025 | 5.09 |
| Jun 30, 2025 | 5.15 |
| Dec 31, 2024 | 15.81 |
| Dec 31, 2023 | 21.89 |
API Access
Fst Price to Book 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=price-to-book&ticker=KBSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=KBSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();