Hamilton Beach Brands Holding (HBB) EBITDA (2016 - 2026)
Hamilton Beach Brands Holding's EBITDA was $46 million in Q2 2026, up 535.2% from $7.24 million a year earlier and up 506.7% from the prior quarter.
Hamilton Beach Brands Holding (HBB) EBITDA (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hamilton Beach Brands Holding's EBITDA was $85.27 million through Jun 30, 2026, up 80.9% year-over-year; for FY2025, it was $42.47 million, down 11.5% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In earlier years, EBITDA was $48 million in FY2024 (+21.7%), $39.44 million in FY2023 (-9.7%), $43.68 million in FY2022 (+19.8%) and $36.45 million in FY2021 (-11.8%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q4 2016.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 75.7% over the last seven quarters.
- The best year-over-year quarter for EBITDA over five years was Q2 2026 (growth of 535.2%); the worst was Q2 2023 (a decline of 72.5%).
- Per Business Quant data, HBB's EBITDA in the three quarters before Q2 2026 was $7.58 million (Q1 2026), $27.56 million (Q4 2025) and $4.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 27.84 Bn | 25.51 Bn | 860.34 Mn | 219.37 Mn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | 265.70 Mn |
| 3 | Hni | 3.32 Bn | 2.89 Bn | 647.20 Mn | 158.30 Mn |
| 4 | Newell Brands | 2.40 Bn | 1.56 Bn | 812.00 Mn | 361.00 Mn |
| 5 | Sonos | 2.08 Bn | 979.53 Mn | 189.31 Mn | 42.60 Mn |
| 6 | Whirlpool | 1.84 Bn | -1.62 Bn | 442.00 Mn | 249.00 Mn |
| 7 | Arhaus | 1.53 Bn | 613.69 Mn | 172.07 Mn | 76.17 Mn |
| 8 | Millerknoll | 1.46 Bn | 760.69 Mn | 385.30 Mn | 86.90 Mn |
| 9 | Corsair Gaming | 1.41 Bn | 942.91 Mn | 104.29 Mn | 20.07 Mn |
| 10 | Hamilton Beach Brands Holding | 469.66 Mn | 256.29 Mn | 77.50 Mn | 46.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.00 Mn |
| Mar 31, 2026 | 7.58 Mn |
| Dec 31, 2025 | 27.56 Mn |
| Sep 30, 2025 | 4.13 Mn |
| Jun 30, 2025 | 7.24 Mn |
| Mar 31, 2025 | 3.54 Mn |
| Dec 31, 2024 | 24.63 Mn |
| Sep 30, 2024 | 11.74 Mn |
| Jun 30, 2024 | 11.40 Mn |
| Mar 31, 2024 | 245,000.00 |
| Dec 31, 2023 | 26.27 Mn |
| Sep 30, 2023 | 15.38 Mn |
| Jun 30, 2023 | 1.85 Mn |
| Mar 31, 2023 | -4.06 Mn |
| Dec 31, 2022 | 12.58 Mn |
| Sep 30, 2022 | 10.46 Mn |
| Jun 30, 2022 | 6.74 Mn |
| Mar 31, 2022 | 13.90 Mn |
| Dec 31, 2021 | 19.78 Mn |
| Sep 30, 2021 | 8.68 Mn |
Hamilton Beach Brands Holding 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=HBB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "HBB", "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=HBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();