Carlisle Companies (CSL) Operating Expenses (2009 - 2026)
Carlisle Companies (CSL) recorded Operating Expenses of $210.7 million in Q2 2026, up 1.3% from $208 million a year earlier and up 14.6% from the prior quarter.
Carlisle Companies (CSL) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Carlisle Companies' Operating Expenses came in at $774.4 million as of Jun 30, 2026, down 2.8% year-over-year; for FY2025, it came in at $792.5 million, up 4.5% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $758.2 million in FY2024 (+16.0%), $653.9 million in FY2023 (+1.8%), $642.5 million in FY2022 (+22.6%) and $524.2 million in FY2021 (-19.2%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q1 2022.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 5.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 33.6% in Q1 2022, against a decline of 30.8% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $183.9 million (Q1 2026), $189.5 million (Q4 2025) and $190.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Lennox International | 12.73 Bn | 12.54 Bn | 539.50 Mn | 183.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 210.70 Mn |
| Mar 31, 2026 | 183.90 Mn |
| Dec 31, 2025 | 189.50 Mn |
| Sep 30, 2025 | 190.30 Mn |
| Jun 30, 2025 | 208.00 Mn |
| Mar 31, 2025 | 204.70 Mn |
| Dec 31, 2024 | 183.70 Mn |
| Sep 30, 2024 | 199.90 Mn |
| Jun 30, 2024 | 198.60 Mn |
| Mar 31, 2024 | 176.00 Mn |
| Dec 31, 2023 | 165.60 Mn |
| Sep 30, 2023 | 168.90 Mn |
| Jun 30, 2023 | 170.40 Mn |
| Mar 31, 2023 | 149.00 Mn |
| Dec 31, 2022 | 146.90 Mn |
| Sep 30, 2022 | 167.20 Mn |
| Jun 30, 2022 | 203.00 Mn |
| Mar 31, 2022 | 215.30 Mn |
| Dec 31, 2021 | -17.50 Mn |
| Sep 30, 2021 | 205.40 Mn |
Carlisle Companies Operating 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=operating-expenses&ticker=CSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CSL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=CSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();