Hamilton Beach Brands Holding (HBB) Retained Earnings (2016 - 2026)
Hamilton Beach Brands Holding (HBB) reported Retained Earnings of $177.82 million for Q2 2026, up 40.1% from $126.92 million a year earlier and up 22.0% from the prior quarter.
Hamilton Beach Brands Holding (HBB) Retained Earnings (2016 - 2026) Analysis & Trends
At the end of FY2025, Hamilton Beach Brands Holding posted Retained Earnings of $143.89 million, up 16.2% from FY2024.
- Retained Earnings has increased for five consecutive years, with a five-year compound annual growth rate of 26.2% (FY2020 to FY2025).
- By year, Retained Earnings came in at $123.86 million in FY2024 (+24.6%), $99.4 million in FY2023 (+23.9%), $80.24 million in FY2022 (+32.1%) and $60.75 million in FY2021 (+35.3%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q3 2016.
- Year over year, Retained Earnings has now increased in each of the last 22 quarters, with growth averaging 25.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 3.4% in Q2 2023 to 81.9% in Q3 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at $145.8 million (Q1 2026), $143.89 million (Q4 2025) and $126.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 27.62 Bn | 25.28 Bn | 860.34 Mn | 1.86 Bn |
| 2 | Somnigroup International | 13.40 Bn | 12.94 Bn | 817.20 Mn | - |
| 3 | Hni | 3.37 Bn | 2.94 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.36 Bn | 1.52 Bn | 812.00 Mn | -3.15 Bn |
| 5 | Sonos | 2.06 Bn | 960.50 Mn | 189.31 Mn | -17.31 Mn |
| 6 | Whirlpool | 1.87 Bn | -1.60 Bn | 442.00 Mn | 1.26 Bn |
| 7 | Arhaus | 1.53 Bn | 615.81 Mn | 172.07 Mn | 202.04 Mn |
| 8 | Millerknoll | 1.47 Bn | 766.93 Mn | 385.30 Mn | 717.70 Mn |
| 9 | Corsair Gaming | 1.42 Bn | 946.13 Mn | 104.29 Mn | -52.54 Mn |
| 10 | Hamilton Beach Brands Holding | 477.35 Mn | 263.98 Mn | 77.50 Mn | 177.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 177.82 Mn |
| Mar 31, 2026 | 145.80 Mn |
| Dec 31, 2025 | 143.89 Mn |
| Sep 30, 2025 | 126.95 Mn |
| Jun 30, 2025 | 126.92 Mn |
| Mar 31, 2025 | 124.08 Mn |
| Dec 31, 2024 | 123.86 Mn |
| Sep 30, 2024 | 101.43 Mn |
| Jun 30, 2024 | 101.08 Mn |
| Mar 31, 2024 | 96.71 Mn |
| Dec 31, 2023 | 99.40 Mn |
| Sep 30, 2023 | 81.36 Mn |
| Jun 30, 2023 | 72.56 Mn |
| Mar 31, 2023 | 74.00 Mn |
| Dec 31, 2022 | 80.24 Mn |
| Sep 30, 2022 | 74.60 Mn |
| Jun 30, 2022 | 70.15 Mn |
| Mar 31, 2022 | 66.53 Mn |
| Dec 31, 2021 | 60.75 Mn |
| Sep 30, 2021 | 49.51 Mn |
Hamilton Beach Brands Holding Retained Earnings 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=retained-earnings&ticker=HBB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=HBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();