Envela (ELA) Operating Expenses (2010 - 2026)
Envela (ELA) posted Operating Expenses of $8.28 million for Q2 2026, down 9.4% from $9.13 million a year earlier and down 12.1% from the prior quarter.
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Analysis
Envela (ELA) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Envela was $35.52 million, down 3.2% year-over-year; for FY2025, it came in at $35.82 million, down 0.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- In prior years, Envela's Operating Expenses was $36.16 million in FY2024 (+9.9%), $32.9 million in FY2023 (+6.5%), $30.88 million in FY2022 (+42.2%) and $21.72 million in FY2021 (+33.4%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 3.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 57.2%; the weakest was Q2 2026, with a decline of 9.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $9.41 million (Q1 2026), $8.97 million (Q4 2025) and $8.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Envela | 318.05 Mn | 193.42 Mn | 13.38 Mn | 8.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.28 Mn |
| Mar 31, 2026 | 9.41 Mn |
| Dec 31, 2025 | 8.97 Mn |
| Sep 30, 2025 | 8.87 Mn |
| Jun 30, 2025 | 9.13 Mn |
| Mar 31, 2025 | 8.85 Mn |
| Dec 31, 2024 | 9.25 Mn |
| Sep 30, 2024 | 9.44 Mn |
| Jun 30, 2024 | 9.48 Mn |
| Mar 31, 2024 | 7.98 Mn |
| Dec 31, 2023 | 8.16 Mn |
| Sep 30, 2023 | 7.78 Mn |
| Jun 30, 2023 | 8.70 Mn |
| Mar 31, 2023 | 8.26 Mn |
| Dec 31, 2022 | 8.07 Mn |
| Sep 30, 2022 | 8.40 Mn |
| Jun 30, 2022 | 7.48 Mn |
| Mar 31, 2022 | 6.85 Mn |
| Dec 31, 2021 | 6.87 Mn |
| Sep 30, 2021 | 5.45 Mn |
API Access
Envela 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=ELA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ELA", "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=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();