Carlisle Companies (CSL) Accumulated Expenses (2009 - 2026)
Carlisle Companies (CSL) posted Accumulated Expenses of $475 million for Q2 2026, up 32.4% from $358.7 million a year earlier and up 66.7% from the prior quarter.
Carlisle Companies (CSL) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Carlisle Companies' Accumulated Expenses came in at $503 million, up 24.3% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- In prior years, Carlisle Companies' Accumulated Expenses was $404.7 million in FY2024 (+38.2%), $292.9 million in FY2023 (+0.9%), $290.3 million in FY2022 (-17.3%) and $351.2 million in FY2021 (+27.9%).
- Quarterly Accumulated Expenses has run from a low of $218.7 million in Q1 2024 to a high of $503 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last nine quarters, with growth averaging 27.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2025, with growth of 51.4%; the weakest was Q3 2023, with a decline of 29.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $284.9 million (Q1 2026), $503 million (Q4 2025) and $470 million (Q3 2025).
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 | Madison Air Solutions | 12.59 Bn | 9.25 Bn | 422.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 496.80 Mn |
| Jun 30, 2026 | 475.00 Mn |
| Mar 31, 2026 | 284.90 Mn |
| Dec 31, 2025 | 503.00 Mn |
| Sep 30, 2025 | 470.00 Mn |
| Jun 30, 2025 | 358.70 Mn |
| Mar 31, 2025 | 279.60 Mn |
| Dec 31, 2024 | 404.70 Mn |
| Sep 30, 2024 | 310.40 Mn |
| Jun 30, 2024 | 296.30 Mn |
| Mar 31, 2024 | 218.70 Mn |
| Dec 31, 2023 | 292.90 Mn |
| Sep 30, 2023 | 254.00 Mn |
| Jun 30, 2023 | 263.20 Mn |
| Mar 31, 2023 | 223.00 Mn |
| Dec 31, 2022 | 290.30 Mn |
| Sep 30, 2022 | 361.40 Mn |
| Jun 30, 2022 | 320.00 Mn |
| Mar 31, 2022 | 278.40 Mn |
| Dec 31, 2021 | 351.20 Mn |
Carlisle Companies 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=CSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();