Caesarstone (CSTE) Accumulated Expenses (2011 - 2026)
Caesarstone's Accumulated Expenses came in at $63.02 million for the quarter ended Jun 30, 2026, up 11.4% from $56.57 million a year earlier and up 8.5% from the prior quarter.
Caesarstone (CSTE) Accumulated Expenses (2011 - 2026) Analysis & Trends
As of Dec 31, 2025, Caesarstone's Accumulated Expenses was $58.72 million, up 14.3% from the prior year.
- Accumulated Expenses carries a five-year compound annual growth rate of 1.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, Accumulated Expenses was $51.38 million in the year ended Dec 31, 2024 (-9.7%), $56.89 million in the year ended Dec 31, 2023 (-3.2%), $58.78 million in the year ended Dec 31, 2022 (-8.9%) and $64.53 million in the year ended Dec 31, 2021 (+16.1%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Accumulated Expenses since the quarter ended Sep 30, 2022.
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 3.0% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in the quarter ended Sep 30, 2021 (growth of 29.2%), and the weakest in the quarter ended Mar 31, 2024 (a decline of 13.4%).
- Business Quant data shows CSTE's Accumulated Expenses at $58.1 million (quarter ended Mar 31, 2026), $58.72 million (quarter ended Dec 31, 2025) and $57 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn |
| 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 |
| 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 |
|---|---|
| Jun 30, 2026 | 63.02 Mn |
| Mar 31, 2026 | 58.10 Mn |
| Dec 31, 2025 | 58.72 Mn |
| Sep 30, 2025 | 57.00 Mn |
| Jun 30, 2025 | 56.57 Mn |
| Mar 31, 2025 | 55.53 Mn |
| Dec 31, 2024 | 51.38 Mn |
| Sep 30, 2024 | 57.35 Mn |
| Jun 30, 2024 | 57.29 Mn |
| Mar 31, 2024 | 51.81 Mn |
| Dec 31, 2023 | 56.89 Mn |
| Sep 30, 2023 | 58.50 Mn |
| Jun 30, 2023 | 59.32 Mn |
| Mar 31, 2023 | 59.85 Mn |
| Dec 31, 2022 | 58.78 Mn |
| Sep 30, 2022 | 64.01 Mn |
| Jun 30, 2022 | 63.75 Mn |
| Mar 31, 2022 | 60.93 Mn |
| Dec 31, 2021 | 64.53 Mn |
| Sep 30, 2021 | 57.94 Mn |
Caesarstone Accumulated Expenses 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=accumulated-expenses&ticker=CSTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CSTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();