Solo Brands (SBDS) EBITDA (2021 - 2026)
Solo Brands (SBDS) recorded EBITDA of $5.31 million in Q2 2026, compared with -$3.17 million a year earlier.
Analysis
Solo Brands (SBDS) EBITDA (2021 - 2026) Analysis & Trends
On a TTM basis, Solo Brands' EBITDA came in at -$76.12 million as of Jun 30, 2026; for FY2025, it came in at -$84.94 million.
- Across earlier years, EBITDA came in at -$147.99 million in FY2024, -$200.5 million in FY2023, $45.98 million in FY2022 (-56.0%) and $104.59 million in FY2021.
- The Q2 2026 figure is the highest quarterly EBITDA since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 16.68 Bn | 14.27 Bn | 1.07 Bn | 304.20 Mn |
| 2 | Hasbro | 15.69 Bn | 11.46 Bn | 867.20 Mn | 284.50 Mn |
| 3 | Mattel | 4.81 Bn | 1.49 Bn | 542.12 Mn | 59.60 Mn |
| 4 | Acushnet Holdings | 4.80 Bn | 4.54 Bn | 445.83 Mn | 190.31 Mn |
| 5 | YETI Holdings | 3.20 Bn | 2.51 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.53 Bn | -17.12 Mn | 306.70 Mn | 124.90 Mn |
| 7 | Peloton Interactive | 2.27 Bn | -2.35 Bn | 344.40 Mn | 95.10 Mn |
| 8 | Unusual Machines | 835.62 Mn | 372.12 Mn | 5.80 Mn | -7.76 Mn |
| 9 | Sturm Ruger | 793.94 Mn | 397.94 Mn | 33.74 Mn | 14.01 Mn |
| 10 | Solo Brands | 5.20 Mn | -84.74 Mn | 53.02 Mn | 5.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.31 Mn |
| Dec 31, 2025 | -66.78 Mn |
| Sep 30, 2025 | -8.67 Mn |
| Jun 30, 2025 | -3.17 Mn |
| Mar 31, 2025 | -3.51 Mn |
| Dec 31, 2024 | -48.32 Mn |
| Sep 30, 2024 | -108.26 Mn |
| Jun 30, 2024 | 9.09 Mn |
| Mar 31, 2024 | 360,000.00 |
| Dec 31, 2023 | -233.35 Mn |
| Sep 30, 2023 | 11.83 Mn |
| Jun 30, 2023 | 23.12 Mn |
| Mar 31, 2023 | 15.06 Mn |
| Dec 31, 2022 | 33.16 Mn |
| Sep 30, 2022 | 3.13 Mn |
| Jun 30, 2022 | -13.73 Mn |
| Mar 31, 2022 | 2.97 Mn |
| Dec 31, 2021 | 23.01 Mn |
| Sep 30, 2021 | 9.31 Mn |
| Jun 30, 2021 | 27.45 Mn |
API Access
Solo Brands 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=ebitda&ticker=SBDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=SBDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();