Fst (KBSX) Pension (2023)
Fst (KBSX) posted Pension of $4,822 for the quarter ended Dec 31, 2023.
Analysis
Fst (KBSX) Pension (2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 16.85 Bn | 14.44 Bn | 1.07 Bn |
| 2 | Hasbro | 15.50 Bn | 11.27 Bn | 867.20 Mn |
| 3 | Mattel | 4.91 Bn | 1.59 Bn | 542.12 Mn |
| 4 | Acushnet Holdings | 4.84 Bn | 4.58 Bn | 445.83 Mn |
| 5 | YETI Holdings | 3.17 Bn | 2.49 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.55 Bn | 2.64 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.31 Bn | -2.31 Bn | 344.40 Mn |
| 8 | Unusual Machines | 797.22 Mn | 333.71 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 774.40 Mn | 378.40 Mn | 33.74 Mn |
| 10 | Fst | 59.93 Mn | 29.20 Mn | 6.01 Mn |
API Access
Fst Pension 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=pension&ticker=KBSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=KBSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();