Smith & Wesson Brands (SWBI) Short term Debt (2017 - 2019)
Smith & Wesson Brands (SWBI) posted Short term Debt of $75 million for fiscal Q2 2020 (quarter ended Oct 31, 2019), compared with $6.3 million a year earlier and down 6.0% from the prior quarter.
Smith & Wesson Brands (SWBI) Short term Debt (2017 - 2019) Analysis & Trends
At the end of FY2019 (ended Apr 30, 2019), Smith & Wesson Brands' Short term Debt came in at $6.3 million, unchanged from FY2018.
- In prior fiscal years, Smith & Wesson Brands' Short term Debt was $6.3 million in FY2018 (unchanged) and $6.3 million in FY2017.
- Quarterly Short term Debt has run from a low of $6.3 million in fiscal Q4 2017 to a high of $81.3 million in fiscal Q2 2018 over five years.
- According to Business Quant data, Short term Debt for the three prior fiscal quarters was $79.8 million (Q1 2020), $6.3 million (Q4 2019) and $6.3 million (Q3 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn |
| 5 | YETI Holdings | 2.99 Bn | 2.31 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.52 Bn | -29.40 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 630.45 Mn | 542.70 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2019 | 75.00 Mn |
| Jul 31, 2019 | 79.80 Mn |
| Apr 30, 2019 | 6.30 Mn |
| Jan 31, 2019 | 6.30 Mn |
| Oct 31, 2018 | 6.30 Mn |
| Jul 31, 2018 | 6.30 Mn |
| Apr 30, 2018 | 6.30 Mn |
| Jan 31, 2018 | 6.30 Mn |
| Oct 31, 2017 | 81.30 Mn |
| Apr 30, 2017 | 6.30 Mn |
Smith & Wesson Brands Short term Debt 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=short-term-debt&ticker=SWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "ticker": "SWBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt&ticker=SWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();