Envela (ELA) Cost of Revenue (2010 - 2026)
Envela's Cost of Revenue was $43.4 million in Q2 2026, up 2.1% from $42.49 million a year earlier but down 44.2% from the prior quarter.
Envela (ELA) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Envela's Cost of Revenue was $229.48 million through Jun 30, 2026, up 51.6% year-over-year; for FY2025, it was $187.1 million, up 37.5% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $136.06 million in FY2024 (+1.8%), $133.61 million in FY2023 (-3.1%), $137.86 million in FY2022 (+25.6%) and $109.74 million in FY2021 (+20.8%).
- Quarterly Cost of Revenue has moved between $27.14 million (Q3 2023) and $77.76 million (Q1 2026) over five years.
- Compared with a year earlier, Cost of Revenue has increased for eight straight quarters, with growth averaging 40.8% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2026 (growth of 114.3%); the worst was Q1 2024 (a decline of 23.1%).
- Per Business Quant data, ELA's Cost of Revenue in the three quarters before Q2 2026 was $77.76 million (Q1 2026), $64 million (Q4 2025) and $44.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 582.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.12 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 342.46 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 478.76 Mn |
| 10 | Envela | 317.01 Mn | 192.38 Mn | 13.38 Mn | 43.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.40 Mn |
| Mar 31, 2026 | 77.76 Mn |
| Dec 31, 2025 | 64.00 Mn |
| Sep 30, 2025 | 44.32 Mn |
| Jun 30, 2025 | 42.49 Mn |
| Mar 31, 2025 | 36.29 Mn |
| Dec 31, 2024 | 37.18 Mn |
| Sep 30, 2024 | 35.44 Mn |
| Jun 30, 2024 | 33.91 Mn |
| Mar 31, 2024 | 29.54 Mn |
| Dec 31, 2023 | 27.73 Mn |
| Sep 30, 2023 | 27.14 Mn |
| Jun 30, 2023 | 40.33 Mn |
| Mar 31, 2023 | 38.40 Mn |
| Dec 31, 2022 | 35.65 Mn |
| Sep 30, 2022 | 33.34 Mn |
| Jun 30, 2022 | 31.16 Mn |
| Mar 31, 2022 | 37.70 Mn |
| Dec 31, 2021 | 34.39 Mn |
| Sep 30, 2021 | 29.57 Mn |
Envela Cost of Revenue 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=cost-of-revenue&ticker=ELA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();