Solo Brands (SBDS) EV to EBITDA (2021 - 2023)
Solo Brands' (SBDS) EV to EBITDA came in at 227.48 for Q3 2023, down 77.9% from 1027.29 a year earlier and down 19.3% from the prior quarter.
Solo Brands (SBDS) EV to EBITDA (2021 - 2023) Analysis & Trends
For the trailing twelve months through Sep 30, 2023, EV to EBITDA at Solo Brands was 226.14, down 77.9% year-over-year; for FY2022, it came in at 314.18, down 44.6% from FY2021.
- In prior years, Solo Brands' EV to EBITDA was 567.13 in FY2021.
- The Q3 2023 figure stands as the lowest quarterly EV to EBITDA in data going back to Q4 2021.
- On a year-over-year basis, EV to EBITDA increased in 1 of the last four quarters, with an average decline of 27.6%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 281.85 (Q2 2023), 755.61 (Q1 2023) and 585.61 (Q4 2022).
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 | Solo Brands | 6.02 Mn | -83.92 Mn | 53.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 225.12 |
| Jun 30, 2023 | 278.59 |
| Mar 31, 2023 | 738.34 |
| Dec 31, 2022 | 565.88 |
| Sep 30, 2022 | 950.31 |
| Jun 30, 2022 | 722.65 |
| Mar 31, 2022 | 518.01 |
| Dec 31, 2021 | 677.89 |
Solo Brands EV to EBITDA 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=ev-to-ebitda&ticker=SBDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "SBDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=SBDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();