Williams Sonoma (WSM) Long-Term Debt Repayments (2009 - 2021)
Williams Sonoma's Long-Term Debt Repayments came in at $300 million for FY2022 (year ended Jan 30, 2022).
Analysis
Williams Sonoma (WSM) Long-Term Debt Repayments (2009 - 2021) Analysis & Trends
Going back to FY2009, Williams Sonoma's Long-Term Debt Repayments data covers 9 fiscal years.
- The FY2022 figure represents the highest annual Long-Term Debt Repayments in data going back to FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | - |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Williams Sonoma | 30.68 Bn | 26.76 Bn | 1.01 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 2, 2021 | 300.00 Mn |
| Aug 3, 2014 | 1.79 Mn |
| Feb 2, 2014 | 8,000.00 |
| Nov 3, 2013 | 24,000.00 |
| Aug 4, 2013 | 1.66 Mn |
| May 5, 2013 | 28,000.00 |
| Feb 3, 2013 | 31,000.00 |
| Oct 28, 2012 | 1.57 Mn |
| Jul 29, 2012 | 29,000.00 |
| Apr 29, 2012 | 171,000.00 |
| Jan 29, 2012 | 111,000.00 |
| Oct 30, 2011 | 1.45 Mn |
| Jul 31, 2011 | 33,000.00 |
| May 1, 2011 | 33,000.00 |
| Jan 30, 2011 | 207,000.00 |
| Oct 31, 2010 | 32,000.00 |
| Aug 1, 2010 | 1.32 Mn |
| May 2, 2010 | 30,000.00 |
| Jan 31, 2010 | 13.43 Mn |
| Nov 1, 2009 | 29,000.00 |
API Access
Williams Sonoma 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=WSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "WSM", "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=WSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();