Limitless X Holdings (LIMX) Total Liabilities (2019 - 2026)
Limitless X Holdings' Total Liabilities was $10.94 million in Q2 2026, down 72.7% from $40.09 million a year earlier but up 22.8% from the prior quarter.
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Analysis
Limitless X Holdings (LIMX) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Limitless X Holdings came in at $6.21 million, down 58.5% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 225.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $14.94 million in FY2024 (-50.5%), $30.15 million in FY2023 (+23.2%), $24.48 million in FY2022 (+796.7%) and $2.73 million in FY2021.
- Quarterly Total Liabilities has moved between -$194,752 (Q1 2022) and $40.09 million (Q2 2025) over five years.
- Compared with a year earlier, Total Liabilities has declined for four straight quarters, with an average decline of 51.4% over the last seven quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2022 (growth of 796.7%); the worst was Q1 2026 (a decline of 77.1%).
- Per Business Quant data, LIMX's Total Liabilities in the three quarters before Q2 2026 was $8.91 million (Q1 2026), $6.21 million (Q4 2025) and $4.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 15.96 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 16.18 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Limitless X Holdings | 4.63 Mn | 4.38 Mn | 30,160.00 | 10.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.94 Mn |
| Mar 31, 2026 | 8.91 Mn |
| Dec 31, 2025 | 6.21 Mn |
| Sep 30, 2025 | 4.91 Mn |
| Jun 30, 2025 | 40.09 Mn |
| Mar 31, 2025 | 39.00 Mn |
| Dec 31, 2024 | 14.94 Mn |
| Sep 30, 2024 | 13.98 Mn |
| Mar 31, 2024 | 31.28 Mn |
| Dec 31, 2023 | 30.15 Mn |
| Sep 30, 2023 | 35.55 Mn |
| Jun 30, 2023 | 24.79 Mn |
| Mar 31, 2023 | 23.82 Mn |
| Dec 31, 2022 | 24.48 Mn |
| Sep 30, 2022 | 11.35 Mn |
| Jun 30, 2022 | 10.43 Mn |
| Mar 31, 2022 | -194,752.00 |
| Dec 31, 2021 | 2.73 Mn |
| Sep 30, 2021 | 207,257.00 |
| Jun 30, 2021 | 149,196.00 |
API Access
Limitless X Holdings 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=LIMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LIMX", "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=LIMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();