Limitless X Holdings (LIMX) Operating Expenses (2020 - 2026)
Limitless X Holdings' Operating Expenses was $2.88 million in Q2 2026, up 189.8% from $993,051 a year earlier and up 134.2% from the prior quarter.
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Analysis
Limitless X Holdings (LIMX) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Limitless X Holdings' Operating Expenses was $8.56 million through Jun 30, 2026, up 4.1% year-over-year; for FY2025, it came in at $9.82 million, up 60.1% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 114.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $6.13 million in FY2024 (-64.3%), $17.17 million in FY2023 (-72.1%), $61.5 million in FY2022 and $238,672 in FY2021 (+9.6%).
- Quarterly Operating Expenses has moved between -$3.1 million (Q4 2023) and $21.19 million (Q3 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last seven quarters, with growth averaging 42.7%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 442.8%); the worst was Q3 2023 (a decline of 92.3%).
- Per Business Quant data, LIMX's Operating Expenses in the three quarters before Q2 2026 was $1.23 million (Q1 2026), $3.03 million (Q4 2025) and $1.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Limitless X Holdings | 4.63 Mn | 4.38 Mn | 30,160.00 | 2.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.88 Mn |
| Mar 31, 2026 | 1.23 Mn |
| Dec 31, 2025 | 3.03 Mn |
| Sep 30, 2025 | 1.43 Mn |
| Jun 30, 2025 | 993,051.00 |
| Mar 31, 2025 | 4.37 Mn |
| Dec 31, 2024 | 1.91 Mn |
| Sep 30, 2024 | 954,951.00 |
| Jun 30, 2024 | 1.51 Mn |
| Mar 31, 2024 | 1.76 Mn |
| Dec 31, 2023 | -3.10 Mn |
| Sep 30, 2023 | 1.63 Mn |
| Jun 30, 2023 | 7.19 Mn |
| Mar 31, 2023 | 7.37 Mn |
| Dec 31, 2022 | 19.07 Mn |
| Sep 30, 2022 | 21.19 Mn |
| Jun 30, 2022 | 14.88 Mn |
| Mar 31, 2022 | 5.75 Mn |
| Dec 31, 2021 | 271,543.00 |
| Sep 30, 2021 | 37,410.00 |
API Access
Limitless X Holdings Operating 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=operating-expenses&ticker=LIMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=LIMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();