Arhaus (ARHS) Total Liabilities (2020 - 2026)
Arhaus (ARHS) posted Total Liabilities of $1.04 billion for Q2 2026, up 11.0% from $932.76 million a year earlier and up 3.1% from the prior quarter.
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Analysis
Arhaus (ARHS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Arhaus' Total Liabilities came in at $976.52 million, up 13.2% from FY2024.
- Annual Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- In prior years, Arhaus' Total Liabilities was $862.57 million in FY2024 (+12.8%), $764.91 million in FY2023 (+4.8%), $729.7 million in FY2022 (+41.2%) and $516.79 million in FY2021 (+44.8%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has increased in each of the last 13 quarters, with growth averaging 9.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 45.5%; the weakest was Q1 2023, with a decline of 0.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1 billion (Q1 2026), $976.52 million (Q4 2025) and $978.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 551.41 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 2.65 Bn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 1.04 Bn |
| 10 | Cricut | 1.34 Bn | 311.09 Mn | 116.41 Mn | 217.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.04 Bn |
| Mar 31, 2026 | 1.00 Bn |
| Dec 31, 2025 | 976.52 Mn |
| Sep 30, 2025 | 978.22 Mn |
| Jun 30, 2025 | 932.76 Mn |
| Mar 31, 2025 | 916.11 Mn |
| Dec 31, 2024 | 862.57 Mn |
| Sep 30, 2024 | 888.67 Mn |
| Jun 30, 2024 | 867.99 Mn |
| Mar 31, 2024 | 890.73 Mn |
| Dec 31, 2023 | 764.91 Mn |
| Sep 30, 2023 | 805.37 Mn |
| Jun 30, 2023 | 754.15 Mn |
| Mar 31, 2023 | 724.96 Mn |
| Dec 31, 2022 | 729.70 Mn |
| Sep 30, 2022 | 749.45 Mn |
| Jun 30, 2022 | 748.64 Mn |
| Mar 31, 2022 | 730.52 Mn |
| Dec 31, 2021 | 516.79 Mn |
| Sep 30, 2021 | 515.13 Mn |
API Access
Arhaus Total Liabilities 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=total-liabilities&ticker=ARHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ARHS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=ARHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();