Carlisle Companies (CSL) Change in Accured Expenses (2009 - 2026)
Carlisle Companies' Change in Accured Expenses was -$194.7 million in Q1 2026, compared with -$86.8 million a year earlier.
Carlisle Companies (CSL) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Carlisle Companies' Change in Accured Expenses was -$1.8 million through Mar 31, 2026; for FY2025, it came in at $106.1 million, up 575.8% from FY2024.
- In earlier years, Change in Accured Expenses was $15.7 million in FY2024, -$13.9 million in FY2023, $20 million in FY2022 (+334.8%) and $4.6 million in FY2021.
- The Q1 2026 figure marks the lowest quarterly Change in Accured Expenses in data going back to Q3 2009.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 73.7%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q4 2025 (growth of 318.3%); the worst was Q2 2021 (a decline of 86.0%).
- Per Business Quant data, CSL's Change in Accured Expenses in the three quarters before Q1 2026 was $34.3 million (Q4 2025), $75.5 million (Q3 2025) and $83.1 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 701.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 210.62 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 280.00 Mn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 49.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | -10.80 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 92.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | - |
| 10 | Lennox International | 12.31 Bn | 12.11 Bn | 539.50 Mn | 69.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -194.70 Mn |
| Dec 31, 2025 | 34.30 Mn |
| Sep 30, 2025 | 75.50 Mn |
| Jun 30, 2025 | 83.10 Mn |
| Mar 31, 2025 | -86.80 Mn |
| Dec 31, 2024 | 8.20 Mn |
| Sep 30, 2024 | -9.20 Mn |
| Jun 30, 2024 | 57.80 Mn |
| Mar 31, 2024 | -41.10 Mn |
| Dec 31, 2023 | 27.50 Mn |
| Sep 30, 2023 | 28.50 Mn |
| Jun 30, 2023 | 56.20 Mn |
| Mar 31, 2023 | -126.10 Mn |
| Dec 31, 2022 | 12.10 Mn |
| Sep 30, 2022 | 15.20 Mn |
| Jun 30, 2022 | 15.80 Mn |
| Mar 31, 2022 | -23.10 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Sep 30, 2021 | 16.50 Mn |
| Jun 30, 2021 | 3.80 Mn |
Carlisle Companies Change in Accured 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=change-in-accured-expenses&ticker=CSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();