Winmark (WINA) Long-Term Debt Repayments (2010 - 2024)
Winmark (WINA) recorded Long-Term Debt Repayments of $6 million in Q4 2024, up 464.7% from $1.06 million a year earlier and up 464.7% from the prior quarter.
Winmark (WINA) Long-Term Debt Repayments (2010 - 2024) Analysis & Trends
For FY2024, Winmark reported Long-Term Debt Repayments of $9.19 million, up 116.2% from FY2023.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 23.1% (FY2019 to FY2024).
- Across earlier years, Long-Term Debt Repayments came in at $4.25 million in FY2023 (unchanged), $4.25 million in FY2022 (unchanged), $4.25 million in FY2021 (+13.3%) and $3.75 million in FY2020 (+15.4%).
- The Q4 2024 figure is the highest quarterly Long-Term Debt Repayments since Q3 2010.
- On a year-over-year basis, Long-Term Debt Repayments rose in 1 of the last eight quarters, with growth averaging 58.1%.
- The year-over-year growth in Long-Term Debt Repayments has ranged between 0.0% (Q1 2020) and 464.7% (Q4 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $1.06 million (Q3 2024), $1.06 million (Q2 2024) and $1.06 million (Q1 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,728.54 Bn | 2,245.24 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 320.82 Bn | 314.06 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 162.32 Bn | 139.87 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 113.01 Bn | 105.97 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 75.17 Bn | 58.10 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 74.51 Bn | 73.60 Bn | 2.52 Bn | - |
| 7 | Target | 70.25 Bn | 64.84 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 52.71 Bn | 51.62 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.43 Bn | 32.92 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Winmark | 1.03 Bn | 941.85 Mn | 19.32 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2024 | 6.00 Mn |
| Sep 28, 2024 | 1.06 Mn |
| Jun 29, 2024 | 1.06 Mn |
| Mar 30, 2024 | 1.06 Mn |
| Dec 30, 2023 | 1.06 Mn |
| Sep 30, 2023 | 1.06 Mn |
| Jul 1, 2023 | 1.06 Mn |
| Apr 1, 2023 | 1.06 Mn |
| Dec 31, 2022 | 1.06 Mn |
| Sep 24, 2022 | 1.06 Mn |
| Jun 25, 2022 | 1.06 Mn |
| Mar 26, 2022 | 1.06 Mn |
| Dec 25, 2021 | 1.06 Mn |
| Sep 25, 2021 | 1.06 Mn |
| Jun 26, 2021 | 1.06 Mn |
| Mar 27, 2021 | 1.06 Mn |
| Dec 26, 2020 | 1.06 Mn |
| Sep 26, 2020 | 1.06 Mn |
| Jun 27, 2020 | 812,500.00 |
| Mar 28, 2020 | 812,500.00 |
Winmark 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=WINA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "WINA", "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=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();