Csw Industrials (CSW) Accumulated Expenses (2015 - 2026)
Csw Industrials (CSW) posted Accumulated Expenses of $122.46 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 31.6% from $93.02 million a year earlier and up 9.3% from the prior quarter.
Csw Industrials (CSW) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Csw Industrials' Accumulated Expenses came in at $116.06 million, up 25.6% from FY2025.
- 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 $58.34 million in fiscal Q3 2022 to a high of $123.64 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 27.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2026, with growth of 51.0%; 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 $112 million (Q1 2027), $116.06 million (Q4 2026) and $123.64 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn |
| 10 | Csw Industrials | 4.62 Bn | 4.48 Bn | 151.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 122.46 Mn |
| Jun 30, 2026 | 112.00 Mn |
| 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 |
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();