Arhaus (ARHS) Total Non-Current Liabilities (2020 - 2026)
Arhaus (ARHS) recorded Total Non-Current Liabilities of $1.03 billion in Q2 2026, up 10.9% from $929.26 million a year earlier and up 3.0% from the prior quarter.
Arhaus (ARHS) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Arhaus reported Total Non-Current Liabilities of $972.86 million, up 13.3% from FY2024.
- Annual Total Non-Current Liabilities has increased for five straight years, with a five-year compound annual growth rate of 27.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $858.68 million in FY2024 (+12.9%), $760.77 million in FY2023 (+4.9%), $725.36 million in FY2022 (+59.9%) and $453.75 million in FY2021 (+58.8%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 13 consecutive quarters, with growth averaging 9.7% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 69.9% in Q3 2022, against a decline of 1.0% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1 billion (Q1 2026), $972.86 million (Q4 2025) and $974.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.70 Bn | 23.37 Bn | 860.34 Mn | 2.70 Bn |
| 2 | Somnigroup International | 13.10 Bn | 12.64 Bn | 817.20 Mn | 8.25 Bn |
| 3 | Hni | 3.37 Bn | 2.94 Bn | 647.20 Mn | 2.82 Bn |
| 4 | Newell Brands | 2.27 Bn | 1.42 Bn | 812.00 Mn | 7.88 Bn |
| 5 | Sonos | 2.11 Bn | 1.01 Bn | 189.31 Mn | 475.62 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 8.39 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 999.46 Mn | 104.29 Mn | 500.41 Mn |
| 8 | Millerknoll | 1.37 Bn | 735.34 Mn | 385.30 Mn | 2.53 Bn |
| 9 | Cricut | 1.34 Bn | 317.37 Mn | 116.41 Mn | 210.71 Mn |
| 10 | Arhaus | 1.34 Bn | 419.18 Mn | 172.07 Mn | 1.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 1.00 Bn |
| Dec 31, 2025 | 972.86 Mn |
| Sep 30, 2025 | 974.64 Mn |
| Jun 30, 2025 | 929.26 Mn |
| Mar 31, 2025 | 912.72 Mn |
| Dec 31, 2024 | 858.68 Mn |
| Sep 30, 2024 | 884.54 Mn |
| Jun 30, 2024 | 863.62 Mn |
| Mar 31, 2024 | 886.16 Mn |
| Dec 31, 2023 | 760.77 Mn |
| Sep 30, 2023 | 801.20 Mn |
| Jun 30, 2023 | 749.93 Mn |
| Mar 31, 2023 | 720.68 Mn |
| Dec 31, 2022 | 725.36 Mn |
| Sep 30, 2022 | 745.04 Mn |
| Jun 30, 2022 | 744.64 Mn |
| Mar 31, 2022 | 727.81 Mn |
| Dec 31, 2021 | 453.75 Mn |
| Sep 30, 2021 | 438.60 Mn |
Arhaus Total Non-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-non-current-liabilities&ticker=ARHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=ARHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();