Arhaus (ARHS) Total Current Liabilities (2020 - 2026)
Arhaus (ARHS) reported Total Current Liabilities of $484.36 million for Q2 2026, up 11.4% from $434.72 million a year earlier and up 3.9% from the prior quarter.
Arhaus (ARHS) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Arhaus posted Total Current Liabilities of $453.26 million, up 12.6% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $402.45 million in FY2024 (+17.6%), $342.35 million in FY2023 (-8.9%), $375.6 million in FY2022 (-6.4%) and $401.23 million in FY2021 (+88.2%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Year over year, Total Current Liabilities has now increased in each of the last five quarters, with growth averaging 9.5% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2021 (growth of 88.2%); the low point was Q1 2023 (a decline of 21.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $466.37 million (Q1 2026), $453.26 million (Q4 2025) and $466.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 1.81 Bn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | 1.72 Bn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 1.04 Bn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 2.89 Bn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 366.80 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 5.01 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 369.15 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 692.30 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 484.36 Mn |
| 10 | Cricut | 1.34 Bn | 311.09 Mn | 116.41 Mn | 200.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 484.36 Mn |
| Mar 31, 2026 | 466.37 Mn |
| Dec 31, 2025 | 453.26 Mn |
| Sep 30, 2025 | 466.16 Mn |
| Jun 30, 2025 | 434.72 Mn |
| Mar 31, 2025 | 437.32 Mn |
| Dec 31, 2024 | 402.45 Mn |
| Sep 30, 2024 | 415.68 Mn |
| Jun 30, 2024 | 392.12 Mn |
| Mar 31, 2024 | 446.95 Mn |
| Dec 31, 2023 | 342.35 Mn |
| Sep 30, 2023 | 389.35 Mn |
| Jun 30, 2023 | 348.41 Mn |
| Mar 31, 2023 | 350.98 Mn |
| Dec 31, 2022 | 375.60 Mn |
| Sep 30, 2022 | 420.61 Mn |
| Jun 30, 2022 | 422.16 Mn |
| Mar 31, 2022 | 444.56 Mn |
| Dec 31, 2021 | 401.23 Mn |
| Sep 30, 2021 | 336.74 Mn |
Arhaus Total Current 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-current-liabilities&ticker=ARHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=ARHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();