XMax (XMAX) Total Liabilities (2010 - 2026)
XMax (XMAX) reported Total Liabilities of $14.78 million for Q2 2026, down 49.0% from $29 million a year earlier but up 117.7% from the prior quarter.
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Analysis
XMax (XMAX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, XMax posted Total Liabilities of $7.59 million, up 11.7% from FY2024.
- Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $6.79 million in FY2024 (+18.3%), $5.74 million in FY2023 (+16.7%), $4.92 million in FY2022 (-19.1%) and $6.09 million in FY2021 (+9.6%).
- Five-year quarterly Total Liabilities spans a low of $4.57 million in Q3 2023 and a high of $29 million in Q2 2025.
- Year over year, Total Liabilities gained in five of the last eight quarters, with growth averaging 51.1%.
- The high point for year-over-year Total Liabilities in five years was Q2 2025 (growth of 403.9%); the low point was Q2 2026 (a decline of 49.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.79 million (Q1 2026), $7.59 million (Q4 2025) and $4.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 26.80 Bn | 24.47 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.22 Bn | 12.76 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.33 Bn | 2.90 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.36 Bn | 1.52 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.01 Bn | 912.92 Mn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Millerknoll | 1.45 Bn | 747.53 Mn | 385.30 Mn | 2.65 Bn |
| 8 | Arhaus | 1.44 Bn | 521.74 Mn | 172.07 Mn | 1.04 Bn |
| 9 | Corsair Gaming | 1.40 Bn | 928.63 Mn | 104.29 Mn | 551.41 Mn |
| 10 | XMax | 504.18 Mn | 451.22 Mn | 1.09 Mn | 14.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.78 Mn |
| Mar 31, 2026 | 6.79 Mn |
| Dec 31, 2025 | 7.59 Mn |
| Sep 30, 2025 | 4.70 Mn |
| Jun 30, 2025 | 29.00 Mn |
| Mar 31, 2025 | 5.15 Mn |
| Dec 31, 2024 | 6.79 Mn |
| Sep 30, 2024 | 5.95 Mn |
| Jun 30, 2024 | 5.76 Mn |
| Mar 31, 2024 | 6.22 Mn |
| Dec 31, 2023 | 5.74 Mn |
| Sep 30, 2023 | 4.57 Mn |
| Jun 30, 2023 | 4.85 Mn |
| Mar 31, 2023 | 4.74 Mn |
| Dec 31, 2022 | 4.92 Mn |
| Sep 30, 2022 | 5.66 Mn |
| Jun 30, 2022 | 5.70 Mn |
| Mar 31, 2022 | 6.38 Mn |
| Dec 31, 2021 | 6.09 Mn |
| Sep 30, 2021 | 5.38 Mn |
API Access
XMax 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=XMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "XMAX", "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=XMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();