Envela (ELA) Total Current Liabilities (2010 - 2026)
Envela (ELA) recorded Total Current Liabilities of $18.29 million in Q2 2026, up 48.0% from $12.36 million a year earlier but down 16.8% from the prior quarter.
Envela (ELA) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Envela reported Total Current Liabilities of $18.68 million, up 49.2% from FY2024.
- Annual Total Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 25.3% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $12.52 million in FY2024 (+39.2%), $8.99 million in FY2023 (+1.4%), $8.87 million in FY2022 (-9.5%) and $9.8 million in FY2021 (+61.9%).
- Quarterly Total Current Liabilities has ranged from $5.52 million in Q3 2021 to $21.98 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for eight consecutive quarters, with growth averaging 38.1% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 85.2% in Q1 2026, against a decline of 18.1% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.98 million (Q1 2026), $18.68 million (Q4 2025) and $11.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 12.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.65 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.88 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 804.07 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.80 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.85 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.35 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 37.55 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 728.03 Mn |
| 10 | Envela | 318.05 Mn | 193.42 Mn | 13.38 Mn | 18.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.29 Mn |
| Mar 31, 2026 | 21.98 Mn |
| Dec 31, 2025 | 18.68 Mn |
| Sep 30, 2025 | 11.46 Mn |
| Jun 30, 2025 | 12.36 Mn |
| Mar 31, 2025 | 11.87 Mn |
| Dec 31, 2024 | 12.52 Mn |
| Sep 30, 2024 | 10.82 Mn |
| Jun 30, 2024 | 8.49 Mn |
| Mar 31, 2024 | 10.18 Mn |
| Dec 31, 2023 | 8.99 Mn |
| Sep 30, 2023 | 9.43 Mn |
| Jun 30, 2023 | 8.77 Mn |
| Mar 31, 2023 | 9.67 Mn |
| Dec 31, 2022 | 8.87 Mn |
| Sep 30, 2022 | 10.10 Mn |
| Jun 30, 2022 | 10.12 Mn |
| Mar 31, 2022 | 8.19 Mn |
| Dec 31, 2021 | 9.80 Mn |
| Sep 30, 2021 | 5.52 Mn |
Envela Total Current 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-current-liabilities&ticker=ELA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();