Carters (CRI) Short-Term Debt repayments (2009 - 2020)
Carters (CRI) posted Short-Term Debt repayments of $244 million for Q3 2021, down 51.2% from the prior quarter.
Analysis
Carters (CRI) Short-Term Debt repayments (2009 - 2020) Analysis & Trends
For FY2012, Carters' Short-Term Debt repayments came in at $52.5 million.
- Annual Short-Term Debt repayments shows a three-year compound annual growth rate of 146.6% (FY2009 to FY2012).
- In prior years, Carters' Short-Term Debt repayments was $3.5 million in FY2010 (unchanged) and $3.5 million in FY2009.
- The Q3 2021 figure stands as the lowest quarterly Short-Term Debt repayments since Q1 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST 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 | - |
| 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 | - |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | - |
| 10 | Carters | 1.16 Bn | -642.62 Mn | 412.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2020 | 244.00 Mn |
| Jun 27, 2020 | 500.00 Mn |
| Sep 28, 2019 | 20.00 Mn |
| Jun 29, 2019 | 31.00 Mn |
| Mar 30, 2019 | 135.00 Mn |
| Sep 29, 2018 | 25.00 Mn |
| Jun 30, 2018 | 35.00 Mn |
| Mar 31, 2018 | 50.00 Mn |
| Sep 30, 2017 | 75.00 Mn |
| Apr 1, 2017 | 18.97 Mn |
| Apr 4, 2015 | 20.00 Mn |
| Jun 30, 2012 | 50.00 Mn |
| Mar 31, 2012 | 2.50 Mn |
| Jan 1, 2011 | -2.63 Mn |
| Apr 3, 2010 | 875,000.00 |
| Oct 3, 2009 | 876,000.00 |
API Access
Carters Short-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=short-term-debt-repayments&ticker=CRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "CRI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=CRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();