Caesarstone (CSTE) EV to EBITDA (2012 - 2022)
Caesarstone's EV to EBITDA came in at 5.79 for the quarter ended Sep 30, 2022, down 14.1% from 6.74 a year earlier but up 10.9% from the prior quarter.
Caesarstone (CSTE) EV to EBITDA (2012 - 2022) Analysis & Trends
Over the trailing twelve months to Sep 30, 2022, Caesarstone reported EV to EBITDA of 5.12, up 3.6% year-over-year; for the year ended Dec 31, 2021, it was 5.16, down 20.4% from the prior year.
- Going back by year, EV to EBITDA was 6.49 in the year ended Dec 31, 2020 (-8.8%), 7.11 in the year ended Dec 31, 2019 (+17.3%), 6.06 in the year ended Dec 31, 2018 (-32.5%) and 8.99 in the year ended Dec 31, 2017 (+22.2%).
- The five-year range for quarterly EV to EBITDA is 4.19 (the quarter ended Mar 31, 2020) to 12.70 (the quarter ended Sep 30, 2018).
- Year-over-year, EV to EBITDA has declined for six consecutive quarters, with an average decline of 9.6% over the last eight quarters.
- The fastest year-over-year change in EV to EBITDA over five years came in the quarter ended Mar 31, 2021 (growth of 47.5%), and the weakest in the quarter ended Mar 31, 2020 (a decline of 44.0%).
- Business Quant data shows CSTE's EV to EBITDA at 5.22 (quarter ended Jun 30, 2022), 5.33 (quarter ended Mar 31, 2022) and 5.16 (quarter ended Dec 31, 2021) in the three quarters before the quarter ended Sep 30, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn |
| 10 | Caesarstone | 83.31 Mn | 47.25 Mn | 23.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 5.79 |
| Jun 30, 2022 | 5.22 |
| Mar 31, 2022 | 5.33 |
| Dec 31, 2021 | 6.52 |
| Sep 30, 2021 | 6.74 |
| Jun 30, 2021 | 7.20 |
| Mar 31, 2021 | 6.18 |
| Dec 31, 2020 | 9.11 |
| Sep 30, 2020 | 7.39 |
| Jun 30, 2020 | 10.39 |
| Mar 31, 2020 | 4.19 |
| Dec 31, 2019 | 9.31 |
| Sep 30, 2019 | 9.73 |
| Jun 30, 2019 | 8.63 |
| Mar 31, 2019 | 7.48 |
| Dec 31, 2018 | 7.47 |
| Sep 30, 2018 | 12.70 |
| Jun 30, 2018 | 10.78 |
| Mar 31, 2018 | 10.22 |
| Dec 31, 2017 | 10.92 |
Caesarstone EV to EBITDA 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=ev-to-ebitda&ticker=CSTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=CSTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();