Hamilton Beach Brands Holding (HBB) Receivables (2016 - 2026)
Hamilton Beach Brands Holding (HBB) posted Receivables of $99.1 million for Q2 2026, up 33.7% from $74.09 million a year earlier and up 11.0% from the prior quarter.
Hamilton Beach Brands Holding (HBB) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2025, Hamilton Beach Brands Holding's Receivables came in at $110.54 million, down 5.6% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- In prior years, Hamilton Beach Brands Holding's Receivables was $117.07 million in FY2024 (-13.6%), $135.43 million in FY2023 (+17.6%), $115.14 million in FY2022 (-3.7%) and $119.58 million in FY2021 (-17.4%).
- Quarterly Receivables has run from a low of $74.09 million in Q2 2025 to a high of $135.43 million in Q4 2023 over five years.
- On a year-over-year basis, Receivables increased in two of the last eight quarters, with an average decline of 2.0%.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2026, with growth of 33.7%; the weakest was Q3 2022, with a decline of 19.0%.
- According to Business Quant data, Receivables for the three prior quarters was $89.28 million (Q1 2026), $110.54 million (Q4 2025) and $83.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 27.70 Bn | 25.37 Bn | 860.34 Mn | 1.63 Bn |
| 2 | Somnigroup International | 13.37 Bn | 12.91 Bn | 817.20 Mn | 361.40 Mn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.39 Bn | 1.55 Bn | 812.00 Mn | 1.31 Bn |
| 5 | Sonos | 2.06 Bn | 962.28 Mn | 189.31 Mn | 117.19 Mn |
| 6 | Whirlpool | 1.85 Bn | -1.61 Bn | 442.00 Mn | 1.24 Bn |
| 7 | Arhaus | 1.53 Bn | 615.81 Mn | 172.07 Mn | 236,000.00 |
| 8 | Millerknoll | 1.46 Bn | 754.46 Mn | 385.30 Mn | 344.40 Mn |
| 9 | Corsair Gaming | 1.42 Bn | 946.13 Mn | 104.29 Mn | 159.82 Mn |
| 10 | Hamilton Beach Brands Holding | 478.30 Mn | 264.93 Mn | 77.50 Mn | 99.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.10 Mn |
| Mar 31, 2026 | 89.28 Mn |
| Dec 31, 2025 | 110.54 Mn |
| Sep 30, 2025 | 83.81 Mn |
| Jun 30, 2025 | 74.09 Mn |
| Mar 31, 2025 | 82.33 Mn |
| Dec 31, 2024 | 117.07 Mn |
| Sep 30, 2024 | 99.05 Mn |
| Jun 30, 2024 | 85.04 Mn |
| Mar 31, 2024 | 89.60 Mn |
| Dec 31, 2023 | 135.43 Mn |
| Sep 30, 2023 | 102.18 Mn |
| Jun 30, 2023 | 89.90 Mn |
| Mar 31, 2023 | 90.31 Mn |
| Dec 31, 2022 | 115.14 Mn |
| Sep 30, 2022 | 97.80 Mn |
| Jun 30, 2022 | 99.72 Mn |
| Mar 31, 2022 | 104.23 Mn |
| Dec 31, 2021 | 119.58 Mn |
| Sep 30, 2021 | 120.67 Mn |
Hamilton Beach Brands Holding Receivables 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=receivables&ticker=HBB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=HBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();