XMax (XMAX) Total Non-Current Liabilities (2010 - 2026)
XMax's Total Non-Current Liabilities was $13.15 million in Q2 2026, compared with $601,638 a year earlier and up 149.6% from the prior quarter.
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Analysis
XMax (XMAX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at XMax came in at $5.2 million, up 436.4% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $968,570 in FY2024 (-52.8%), $2.05 million in FY2023 (-37.4%), $3.28 million in FY2022 (-23.2%) and $4.27 million in FY2021 (+21.2%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q2 2016.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last seven quarters, with growth averaging 102.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2026 (growth of 569.7%); the worst was Q3 2025 (a decline of 81.4%).
- Per Business Quant data, XMAX's Total Non-Current Liabilities in the three quarters before Q2 2026 was $5.27 million (Q1 2026), $5.2 million (Q4 2025) and $289,112 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 26.80 Bn | 24.47 Bn | 860.34 Mn | 2.70 Bn |
| 2 | Somnigroup International | 13.22 Bn | 12.76 Bn | 817.20 Mn | 8.25 Bn |
| 3 | Hni | 3.33 Bn | 2.90 Bn | 647.20 Mn | 2.82 Bn |
| 4 | Newell Brands | 2.36 Bn | 1.52 Bn | 812.00 Mn | 7.88 Bn |
| 5 | Sonos | 2.01 Bn | 912.92 Mn | 189.31 Mn | 475.62 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | 8.39 Bn |
| 7 | Millerknoll | 1.45 Bn | 747.53 Mn | 385.30 Mn | 2.47 Bn |
| 8 | Arhaus | 1.44 Bn | 521.74 Mn | 172.07 Mn | 1.03 Bn |
| 9 | Corsair Gaming | 1.40 Bn | 928.63 Mn | 104.29 Mn | 500.41 Mn |
| 10 | XMax | 504.18 Mn | 451.22 Mn | 1.09 Mn | 13.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.15 Mn |
| Mar 31, 2026 | 5.27 Mn |
| Dec 31, 2025 | 5.20 Mn |
| Sep 30, 2025 | 289,112.00 |
| Jun 30, 2025 | 601,638.00 |
| Mar 31, 2025 | 786,703.00 |
| Dec 31, 2024 | 968,570.00 |
| Sep 30, 2024 | 1.55 Mn |
| Jun 30, 2024 | 1.72 Mn |
| Mar 31, 2024 | 1.89 Mn |
| Dec 31, 2023 | 2.05 Mn |
| Sep 30, 2023 | 2.22 Mn |
| Jun 30, 2023 | 2.40 Mn |
| Mar 31, 2023 | 3.09 Mn |
| Dec 31, 2022 | 3.28 Mn |
| Sep 30, 2022 | 3.44 Mn |
| Jun 30, 2022 | 3.53 Mn |
| Mar 31, 2022 | 4.09 Mn |
| Dec 31, 2021 | 4.27 Mn |
| Sep 30, 2021 | 3.03 Mn |
API Access
XMax 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=XMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=XMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();