Csw Industrials (CSW) EBITDA (2014 - 2025)
Csw Industrials (CSW) recorded EBITDA of $36.66 million in fiscal Q3 2026 (quarter ended Dec 31, 2025), down 10.2% from $40.84 million a year earlier and down 48.6% from the prior quarter.
Csw Industrials (CSW) EBITDA (2014 - 2025) Analysis & Trends
On a TTM basis, Csw Industrials' EBITDA came in at $253.31 million as of Dec 31, 2025, up 14.1% year-over-year; for FY2025 (ended Mar 31, 2025), it was $224.25 million, up 14.0% from FY2024.
- Annual EBITDA has increased for four straight fiscal years, with a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $196.77 million in FY2024 (+12.7%), $174.62 million in FY2023 (+60.3%), $108.95 million in FY2022 (+59.3%) and $68.41 million in FY2021 (-7.3%).
- The fiscal Q3 2026 figure is the lowest quarterly EBITDA since fiscal Q3 2023.
- On a year-over-year basis, EBITDA rose in seven of the last eight quarters, with growth averaging 18.0%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 147.2% in fiscal Q3 2022, against a decline of 10.2% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $71.35 million (Q2 2026), $68.54 million (Q1 2026) and $76.76 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 601.28 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Csw Industrials | 5.26 Bn | 5.14 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 36.66 Mn |
| Sep 30, 2025 | 71.35 Mn |
| Jun 30, 2025 | 68.54 Mn |
| Mar 31, 2025 | 76.76 Mn |
| Dec 31, 2024 | 40.84 Mn |
| Sep 30, 2024 | 61.68 Mn |
| Jun 30, 2024 | 65.19 Mn |
| Mar 31, 2024 | 54.33 Mn |
| Dec 31, 2023 | 36.90 Mn |
| Sep 30, 2023 | 45.37 Mn |
| Jun 30, 2023 | 48.45 Mn |
| Mar 31, 2023 | 49.01 Mn |
| Dec 31, 2022 | 32.08 Mn |
| Sep 30, 2022 | 44.04 Mn |
| Jun 30, 2022 | 49.49 Mn |
| Mar 31, 2022 | 31.78 Mn |
| Dec 31, 2021 | 21.42 Mn |
| Sep 30, 2021 | 34.33 Mn |
| Jun 30, 2021 | 41.20 Mn |
| Mar 31, 2021 | 19.79 Mn |
Csw Industrials 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=ebitda&ticker=CSW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CSW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();