Limitless X Holdings (LIMX) Change in Accured Expenses (2020 - 2026)
Limitless X Holdings' Change in Accured Expenses was $766,027 in Q2 2026, down 53.7% from $1.65 million a year earlier but up 546.4% from the prior quarter.
Limitless X Holdings (LIMX) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Limitless X Holdings' Change in Accured Expenses was $2.05 million through Jun 30, 2026, down 35.5% year-over-year; for FY2025, it came in at $2.25 million, down 31.1% from FY2024.
- Change in Accured Expenses shows a three-year compound annual growth rate of -33.7% (FY2022 to FY2025).
- In earlier years, Change in Accured Expenses was $3.26 million in FY2024 (+546.5%), $504,511 in FY2023 (-93.5%) and $7.72 million in FY2022.
- Quarterly Change in Accured Expenses has moved between -$4.91 million (Q4 2023) and $5.76 million (Q4 2022) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last five quarters, with growth averaging 19.7%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2023 (growth of 932.5%); the worst was Q3 2024 (a decline of 94.9%).
- Per Business Quant data, LIMX's Change in Accured Expenses in the three quarters before Q2 2026 was $118,507 (Q1 2026), $546,563 (Q4 2025) and $621,527 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 135.00 Mn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | - |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 197.00 Mn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 26.10 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 50.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | -2.43 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 50.00 Mn |
| 10 | Limitless X Holdings | 4.63 Mn | 4.38 Mn | 30,160.00 | 766,027.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 766,027.00 |
| Mar 31, 2026 | 118,507.00 |
| Dec 31, 2025 | 546,563.00 |
| Sep 30, 2025 | 621,527.00 |
| Jun 30, 2025 | 1.65 Mn |
| Mar 31, 2025 | -576,341.00 |
| Dec 31, 2024 | 1.84 Mn |
| Sep 30, 2024 | 262,872.00 |
| Jun 30, 2024 | 588,754.00 |
| Mar 31, 2024 | 569,682.00 |
| Dec 31, 2023 | -4.91 Mn |
| Sep 30, 2023 | 5.18 Mn |
| Jun 30, 2023 | 3.34 Mn |
| Mar 31, 2023 | -3.11 Mn |
| Dec 31, 2022 | 5.76 Mn |
| Sep 30, 2022 | 703,056.00 |
| Jun 30, 2022 | 323,418.00 |
| Mar 31, 2022 | 941,376.00 |
| Dec 31, 2021 | 215,369.00 |
| Sep 30, 2021 | 1,061.00 |
Limitless X Holdings Change in Accured Expenses 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=change-in-accured-expenses&ticker=LIMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=LIMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();