Johnson Controls International (JCI) Change in Accrued Expenses (2009 - 2026)
Johnson Controls International (JCI) reported Change in Accrued Expenses of $951 million for fiscal Q4 2026 (quarter ended Sep 30, 2026), up 43.4% from $663 million a year earlier and up 35.7% from the prior quarter.
Johnson Controls International (JCI) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Johnson Controls International posted Change in Accrued Expenses of $1.72 billion, up 147.1% from FY2025.
- Change in Accrued Expenses has a five-year compound annual growth rate of 16.1% (FY2021 to FY2026).
- By fiscal year, Change in Accrued Expenses came in at $694 million in FY2025 (+7.6%), $645 million in FY2024, -$85 million in FY2023 and $847 million in FY2022 (+4.2%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Change in Accrued Expenses in data going back to fiscal Q2 2009.
- Year over year, Change in Accrued Expenses has now increased in each of the last three quarters, with growth averaging 44.9% over the last five quarters.
- The high point for year-over-year Change in Accrued Expenses in five years was fiscal Q1 2022 (growth of 265.9%); the low point was fiscal Q3 2023 (a decline of 90.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $701 million (Q3 2026), $238 million (Q2 2026) and -$175 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | - |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 701.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 275.00 Mn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 465.94 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | -17.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 13.60 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 45.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | - |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | - |
| 10 | Lennox International | 11.75 Bn | 11.57 Bn | 497.20 Mn | 32.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 701.00 Mn |
| Mar 31, 2026 | 238.00 Mn |
| Dec 31, 2025 | -175.00 Mn |
| Sep 30, 2025 | 663.00 Mn |
| Jun 30, 2025 | 258.00 Mn |
| Mar 31, 2025 | 180.00 Mn |
| Dec 31, 2024 | -407.00 Mn |
| Sep 30, 2024 | 466.00 Mn |
| Jun 30, 2024 | -23.00 Mn |
| Mar 31, 2024 | 517.00 Mn |
| Dec 31, 2023 | -315.00 Mn |
| Sep 30, 2023 | 42.00 Mn |
| Jun 30, 2023 | 28.00 Mn |
| Mar 31, 2023 | 183.00 Mn |
| Dec 31, 2022 | -338.00 Mn |
| Sep 30, 2022 | 59.00 Mn |
| Jun 30, 2022 | 299.00 Mn |
| Mar 31, 2022 | 156.00 Mn |
| Dec 31, 2021 | 333.00 Mn |
| Sep 30, 2021 | -41.00 Mn |
Johnson Controls International Change in Accrued 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=JCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "JCI", "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=JCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();