Caesarstone (CSTE) Long-Term Debt Repayments (2011 - 2013)
Caesarstone's Long-Term Debt Repayments came in at -$5.37 million for the year ended Dec 31, 2013, compared with -$12.67 million a year earlier.
Caesarstone (CSTE) Long-Term Debt Repayments (2011 - 2013) Analysis & Trends
Going back to the year ended Dec 31, 2010, Caesarstone's Long-Term Debt Repayments data covers 4 years.
- The figure for the year ended Dec 31, 2013 represents the highest annual Long-Term Debt Repayments since the year ended Dec 31, 2010.
- Per Business Quant, earlier years put Long-Term Debt Repayments at -$12.67 million in the year ended Dec 31, 2012, -$19.82 million in the year ended Dec 31, 2011 and $15.04 million in the year ended Dec 31, 2010.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 3.95 Mn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 41.00 Mn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | 792.30 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | - |
| 10 | Caesarstone | 73.11 Mn | 37.05 Mn | 23.19 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 11.89 Mn |
| Sep 30, 2013 | -75,000.00 |
| Jun 30, 2013 | -2.61 Mn |
| Mar 31, 2013 | -2.68 Mn |
| Dec 31, 2012 | 22.99 Mn |
| Sep 30, 2012 | -3.15 Mn |
| Jun 30, 2012 | -3.34 Mn |
| Mar 31, 2012 | -3.47 Mn |
| Dec 31, 2011 | 36.30 Mn |
| Sep 30, 2011 | -9.08 Mn |
Caesarstone 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=CSTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CSTE", "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=CSTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();