Envela (ELA) Long-Term Debt Repayments (2010 - 2026)
Envela's Long-Term Debt Repayments came in at $127,930 for Q2 2026, down 16.2% from $152,711 a year earlier and unchanged from the prior quarter.
Envela (ELA) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Envela reported Long-Term Debt Repayments of $3.37 million, up 203.0% year-over-year; for FY2025, it came in at $3.6 million, up 185.2% from FY2024.
- Long-Term Debt Repayments has increased in each of the last five years, with a five-year compound annual growth rate of 167.8% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $1.26 million in FY2024 (+1.4%), $1.24 million in FY2023 (+17.5%), $1.06 million in FY2022 (+293.9%) and $268,793 in FY2021 (+929.2%).
- The Q2 2026 figure represents the lowest quarterly Long-Term Debt Repayments since Q4 2021.
- Year-over-year, Long-Term Debt Repayments increased in five of the last eight quarters, with growth averaging 82.2%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2022 (growth of 739.7%), and the weakest in Q1 2026 (a decline of 60.8%).
- Business Quant data shows ELA's Long-Term Debt Repayments at $127,982 (Q1 2026), $2.56 million (Q4 2025) and $557,654 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 7.10 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | - |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | -25.30 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 534.46 Mn |
| 10 | Envela | 307.54 Mn | 182.90 Mn | 13.38 Mn | 127,930.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127,930.00 |
| Mar 31, 2026 | 127,982.00 |
| Dec 31, 2025 | 2.56 Mn |
| Sep 30, 2025 | 557,654.00 |
| Jun 30, 2025 | 152,711.00 |
| Mar 31, 2025 | 326,182.00 |
| Dec 31, 2024 | 319,606.00 |
| Sep 30, 2024 | 315,081.00 |
| Jun 30, 2024 | 314,856.00 |
| Mar 31, 2024 | 311,769.00 |
| Dec 31, 2023 | 313,056.00 |
| Sep 30, 2023 | 310,616.00 |
| Jun 30, 2023 | 309,435.00 |
| Mar 31, 2023 | 310,807.00 |
| Dec 31, 2022 | 308,378.00 |
| Sep 30, 2022 | 305,951.00 |
| Jun 30, 2022 | 238,122.00 |
| Mar 31, 2022 | 206,274.00 |
| Dec 31, 2021 | -12,026.00 |
| Sep 30, 2021 | 407,606.00 |
Envela Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ELA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();