Envela (ELA) Total Liabilities (2010 - 2026)
Envela (ELA) recorded Total Liabilities of $27.93 million in Q2 2026, up 12.0% from $24.94 million a year earlier but down 12.9% from the prior quarter.
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Analysis
Envela (ELA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Envela reported Total Liabilities of $28.96 million, up 14.8% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $25.22 million in FY2024 (+0.2%), $25.17 million in FY2023 (-10.0%), $27.96 million in FY2022 (-11.6%) and $31.64 million in FY2021 (+37.6%).
- Quarterly Total Liabilities has ranged from $23.69 million in Q2 2024 to $32.07 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for five consecutive quarters, with growth averaging 9.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 37.6% in Q4 2021, against a decline of 14.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.07 million (Q1 2026), $28.96 million (Q4 2025) and $29.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.39 Bn | 22.59 Bn | 4.80 Bn | 22.57 Bn |
| 2 | Tapestry | 23.87 Bn | 19.83 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 12.64 Bn | 5.51 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 11.23 Bn | 5.48 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 8.00 Bn | 4.58 Bn | 1.07 Bn | 4.51 Bn |
| 7 | V F | 6.83 Bn | 3.45 Bn | 917.04 Mn | 7.70 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 6.72 Bn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.45 Bn | 493.89 Mn | 3.27 Bn |
| 10 | Envela | 310.59 Mn | 185.95 Mn | 13.38 Mn | 27.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.93 Mn |
| Mar 31, 2026 | 32.07 Mn |
| Dec 31, 2025 | 28.96 Mn |
| Sep 30, 2025 | 29.87 Mn |
| Jun 30, 2025 | 24.94 Mn |
| Mar 31, 2025 | 24.52 Mn |
| Dec 31, 2024 | 25.22 Mn |
| Sep 30, 2024 | 26.27 Mn |
| Jun 30, 2024 | 23.69 Mn |
| Mar 31, 2024 | 25.43 Mn |
| Dec 31, 2023 | 25.17 Mn |
| Sep 30, 2023 | 26.36 Mn |
| Jun 30, 2023 | 26.35 Mn |
| Mar 31, 2023 | 27.90 Mn |
| Dec 31, 2022 | 27.96 Mn |
| Sep 30, 2022 | 29.94 Mn |
| Jun 30, 2022 | 30.69 Mn |
| Mar 31, 2022 | 29.48 Mn |
| Dec 31, 2021 | 31.64 Mn |
| Sep 30, 2021 | 24.38 Mn |
API Access
Envela Total Liabilities 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=total-liabilities&ticker=ELA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();