Csw Industrials (CSW) Accumulated Expenses (2015 - 2026)
Csw Industrials (CSW) posted Accumulated Expenses of $116.06 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 25.6% from $92.44 million a year earlier but down 6.1% from the prior quarter.
Csw Industrials (CSW) Accumulated Expenses (2015 - 2026) Analysis & Trends
Since fiscal Q4 2015, Csw Industrials has reported Accumulated Expenses for 44 quarters.
- Annual Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 18.5% (FY2021 to FY2026).
- In prior fiscal years, Csw Industrials' Accumulated Expenses was $92.44 million in FY2025 (+37.0%), $67.45 million in FY2024 (+0.1%), $67.39 million in FY2023 (-2.3%) and $69.01 million in FY2022 (+38.7%).
- Quarterly Accumulated Expenses has run from a low of $47.37 million in fiscal Q2 2022 to a high of $123.64 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 28.6%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2022, with growth of 59.2%; the weakest was fiscal Q1 2024, with a decline of 13.3%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $123.64 million (Q3 2026), $93.02 million (Q2 2026) and $93.34 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Csw Industrials | 5.15 Bn | 5.02 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 116.06 Mn |
| Dec 31, 2025 | 123.64 Mn |
| Sep 30, 2025 | 93.02 Mn |
| Jun 30, 2025 | 93.34 Mn |
| Mar 31, 2025 | 92.44 Mn |
| Dec 31, 2024 | 81.87 Mn |
| Sep 30, 2024 | 96.26 Mn |
| Jun 30, 2024 | 66.46 Mn |
| Mar 31, 2024 | 67.45 Mn |
| Dec 31, 2023 | 67.71 Mn |
| Sep 30, 2023 | 65.59 Mn |
| Jun 30, 2023 | 60.19 Mn |
| Mar 31, 2023 | 67.39 Mn |
| Dec 31, 2022 | 66.78 Mn |
| Sep 30, 2022 | 61.06 Mn |
| Jun 30, 2022 | 69.43 Mn |
| Mar 31, 2022 | 69.01 Mn |
| Dec 31, 2021 | 58.34 Mn |
| Sep 30, 2021 | 47.37 Mn |
| Jun 30, 2021 | 47.94 Mn |
Csw Industrials 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=CSW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CSW", "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=CSW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();