Hamilton Beach Brands Holding (HBB) Return on Sales [ROS] (2016 - 2026)
Hamilton Beach Brands Holding (HBB) posted Return on Sales [ROS] of 30.29% for Q2 2026, up 25.64 percentage points from 4.66% a year earlier and up 26.22 percentage points from the prior quarter.
Hamilton Beach Brands Holding (HBB) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Hamilton Beach Brands Holding was 12.53%, up 5.81 percentage points year-over-year; for FY2025, it was 6.03%, down 0.57 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -0.17 percentage points (FY2020 to FY2025).
- In prior years, Hamilton Beach Brands Holding's Return on Sales [ROS] was 6.60% in FY2024 (+0.99 pp), 5.61% in FY2023 (-0.45 pp), 6.05% in FY2022 (+1.26 pp) and 4.79% in FY2021 (-1.41 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] in data going back to Q3 2016.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +2.67 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2026, with a gain of 25.64 percentage points; the weakest was Q1 2023, with a drop of 12.65 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 4.07% (Q1 2026), 11.95% (Q4 2025) and 2.16% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.34 Bn | 23.01 Bn | 860.34 Mn | 10.16% |
| 2 | Somnigroup International | 13.21 Bn | 12.76 Bn | 817.20 Mn | 11.06% |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 6.26% |
| 4 | Newell Brands | 2.26 Bn | 1.42 Bn | 812.00 Mn | 14.19% |
| 5 | Sonos | 2.10 Bn | 998.62 Mn | 189.31 Mn | 8.40% |
| 6 | Whirlpool | 1.98 Bn | -1.50 Bn | 442.00 Mn | 4.63% |
| 7 | Corsair Gaming | 1.50 Bn | 1.04 Bn | 104.29 Mn | 2.42% |
| 8 | Arhaus | 1.40 Bn | 477.18 Mn | 172.07 Mn | 14.10% |
| 9 | Millerknoll | 1.39 Bn | 748.41 Mn | 385.30 Mn | 5.61% |
| 10 | Hamilton Beach Brands Holding | 501.11 Mn | 287.73 Mn | 77.50 Mn | 30.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.29% |
| Mar 31, 2026 | 4.07% |
| Dec 31, 2025 | 11.95% |
| Sep 30, 2025 | 2.16% |
| Jun 30, 2025 | 4.66% |
| Mar 31, 2025 | 1.73% |
| Dec 31, 2024 | 11.04% |
| Sep 30, 2024 | 6.78% |
| Jun 30, 2024 | 6.37% |
| Mar 31, 2024 | -0.74% |
| Dec 31, 2023 | 12.09% |
| Sep 30, 2023 | 9.39% |
| Jun 30, 2023 | 0.53% |
| Mar 31, 2023 | -3.94% |
| Dec 31, 2022 | 5.73% |
| Sep 30, 2022 | 6.21% |
| Jun 30, 2022 | 3.68% |
| Mar 31, 2022 | 8.71% |
| Dec 31, 2021 | 9.07% |
| Sep 30, 2021 | 4.75% |
Hamilton Beach Brands Holding Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=HBB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=HBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();