XMax (XMAX) Long-Term Debt Repayments (2010 - 2026)
XMax's Long-Term Debt Repayments was $392,975 in Q2 2026.
Analysis
XMax (XMAX) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, XMax's Long-Term Debt Repayments was $251,093 through Jun 30, 2026, up 15.7% year-over-year; for FY2025, it came in at $70,079.
- The Q2 2026 figure marks the highest quarterly Long-Term Debt Repayments since Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.51 Bn | 28.96 Bn | 1.17 Bn | 10.13 Mn |
| 2 | Somnigroup International | 13.51 Bn | 13.06 Bn | 817.20 Mn | - |
| 3 | Hni | 3.42 Bn | 2.90 Bn | 678.50 Mn | 127.10 Mn |
| 4 | Newell Brands | 2.33 Bn | 1.46 Bn | 649.00 Mn | 795.00 Mn |
| 5 | Arhaus | 2.02 Bn | 1.10 Bn | 172.07 Mn | 241,000.00 |
| 6 | Whirlpool | 2.00 Bn | -1.64 Bn | 473.00 Mn | 211.00 Mn |
| 7 | Sonos | 1.95 Bn | 852.84 Mn | 189.31 Mn | - |
| 8 | Cricut | 1.84 Bn | 746.53 Mn | 108.88 Mn | - |
| 9 | Millerknoll | 1.49 Bn | 787.72 Mn | 385.30 Mn | 277.00 Mn |
| 10 | XMax | 323.61 Mn | 270.65 Mn | 1.09 Mn | 404,014.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 404,014.00 |
| Mar 31, 2026 | 5,937.00 |
| Dec 31, 2025 | -110,895.00 |
| Sep 30, 2025 | -1,726.00 |
| Jun 30, 2025 | 859.00 |
| Mar 31, 2025 | 217,867.00 |
| Jun 30, 2019 | 5.72 Mn |
| Mar 31, 2019 | 18.04 Mn |
| Dec 31, 2018 | 10.12 Mn |
| Sep 30, 2018 | 18.72 Mn |
| Jun 30, 2018 | 16.57 Mn |
| Mar 31, 2018 | 20.13 Mn |
| Dec 31, 2017 | 10.91 Mn |
| Sep 30, 2017 | 14.77 Mn |
| Jun 30, 2017 | 7.83 Mn |
| Mar 31, 2017 | 18.94 Mn |
| Dec 31, 2016 | 14.63 Mn |
| Sep 30, 2016 | 10.22 Mn |
| Jun 30, 2016 | 8.84 Mn |
| Mar 31, 2016 | 10.25 Mn |
API Access
XMax Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=XMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=XMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();