Lifevantage (LFVN) Operating Expenses (2010 - 2026)
Lifevantage (LFVN) reported Operating Expenses of $31.38 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 25.1% from $41.9 million a year earlier and down 4.5% from the prior quarter.
Lifevantage (LFVN) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lifevantage posted Operating Expenses of $135.51 million, down 21.0% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of -3.8% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $171.47 million in FY2025 (+11.1%), $154.39 million in FY2024 (-6.9%), $165.75 million in FY2023 (+3.2%) and $160.69 million in FY2022 (-2.2%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Operating Expenses since fiscal Q4 2012.
- Year over year, Operating Expenses has now declined in each of the last three quarters, with an average decline of 4.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2025 (growth of 22.3%); the low point was fiscal Q2 2026 (a decline of 30.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $32.87 million (Q3 2026), $35.72 million (Q2 2026) and $35.55 million (Q1 2026).
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 | Lifevantage | 77.49 Mn | 26.81 Mn | 33.04 Mn | 31.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.38 Mn |
| Mar 31, 2026 | 32.87 Mn |
| Dec 31, 2025 | 35.72 Mn |
| Sep 30, 2025 | 35.55 Mn |
| Jun 30, 2025 | 41.90 Mn |
| Mar 31, 2025 | 43.27 Mn |
| Dec 31, 2024 | 51.14 Mn |
| Sep 30, 2024 | 35.15 Mn |
| Jun 30, 2024 | 36.00 Mn |
| Mar 31, 2024 | 36.14 Mn |
| Dec 31, 2023 | 41.82 Mn |
| Sep 30, 2023 | 40.44 Mn |
| Jun 30, 2023 | 40.55 Mn |
| Mar 31, 2023 | 41.52 Mn |
| Dec 31, 2022 | 43.14 Mn |
| Sep 30, 2022 | 40.54 Mn |
| Jun 30, 2022 | 40.12 Mn |
| Mar 31, 2022 | 38.52 Mn |
| Dec 31, 2021 | 42.87 Mn |
| Sep 30, 2021 | 39.18 Mn |
Lifevantage 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=LFVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LFVN", "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=LFVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();