Longevity Health Holdings (XAGE) Operating Expenses (2021 - 2026)
Longevity Health Holdings' Operating Expenses came in at $959,686 for Q2 2026, down 55.6% from $2.16 million a year earlier and down 38.7% from the prior quarter.
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Analysis
Longevity Health Holdings (XAGE) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Longevity Health Holdings reported Operating Expenses of $6.79 million, up 6.1% year-over-year; for FY2025, it was $8.2 million, up 62.7% from FY2024.
- Operating Expenses carries a three-year compound annual growth rate of 14.2% (FY2022 to FY2025).
- Going back by year, Operating Expenses was $5.04 million in FY2024 (-15.2%), $5.94 million in FY2023 (+7.9%) and $5.51 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q4 2023.
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 45.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 847.0%), and the weakest in Q4 2023 (a decline of 88.1%).
- Business Quant data shows XAGE's Operating Expenses at $1.57 million (Q1 2026), $2.54 million (Q4 2025) and $1.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 2.11 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 2.41 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 267.30 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 319.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 300.12 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 106.00 Mn |
| 10 | Longevity Health Holdings | 247,532.10 | -1.92 Mn | 235,536.00 | 959,686.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 959,686.00 |
| Mar 31, 2026 | 1.57 Mn |
| Dec 31, 2025 | 2.54 Mn |
| Sep 30, 2025 | 1.73 Mn |
| Jun 30, 2025 | 2.16 Mn |
| Mar 31, 2025 | 1.78 Mn |
| Dec 31, 2024 | 1.02 Mn |
| Sep 30, 2024 | 1.44 Mn |
| Jun 30, 2024 | 1.20 Mn |
| Mar 31, 2024 | 1.38 Mn |
| Dec 31, 2023 | 333,016.00 |
| Sep 30, 2023 | 2.85 Mn |
| Jun 30, 2023 | 1.49 Mn |
| Mar 31, 2023 | 1.27 Mn |
| Dec 31, 2022 | 2.79 Mn |
| Sep 30, 2022 | 851,923.00 |
| Jun 30, 2022 | 285,876.00 |
| Mar 31, 2022 | 535,142.00 |
| Dec 31, 2021 | 369,899.00 |
| Sep 30, 2021 | 89,956.00 |
API Access
Longevity Health 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=XAGE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XAGE", "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=XAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();