Johnson Controls International (JCI) Restructuring Costs (2009 - 2026)
Johnson Controls International's Restructuring Costs was $87 million in fiscal Q4 2026 (quarter ended Sep 30, 2026), down 78.3% from $400 million a year earlier but up 8.8% from the prior quarter.
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Analysis
Johnson Controls International (JCI) Restructuring Costs (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Restructuring Costs at Johnson Controls International came in at $311 million, down 43.0% from FY2025.
- Restructuring Costs shows a five-year compound annual growth rate of 5.1% (FY2021 to FY2026).
- In earlier fiscal years, Restructuring Costs was $546 million in FY2025 (+7.1%), $510 million in FY2024 (-51.4%), $1.05 billion in FY2023 (+49.6%) and $701 million in FY2022 (+189.7%).
- Quarterly Restructuring Costs has moved between $33 million (fiscal Q1 2025) and $418 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Restructuring Costs was higher in three of the last eight quarters, with growth averaging 25.6%.
- The best year-over-year quarter for Restructuring Costs over five years was fiscal Q1 2023 (growth of 604.1%); the worst was fiscal Q1 2024 (a decline of 89.9%).
- Per Business Quant data, JCI's Restructuring Costs in the three fiscal quarters before Q4 2026 was $80 million (Q3 2026), $57 million (Q2 2026) and $87 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 93.66 Bn | 88.28 Bn | 2.38 Bn |
| 2 | Johnson Controls International | 87.35 Bn | 85.08 Bn | 2.47 Bn |
| 3 | Carrier Global | 43.73 Bn | 38.10 Bn | 1.90 Bn |
| 4 | Comfort Systems Usa | 39.84 Bn | 33.80 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 29.53 Bn | 25.92 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 17.19 Bn | 15.75 Bn | 562.40 Mn |
| 7 | Masco | 16.43 Bn | 14.23 Bn | 720.00 Mn |
| 8 | Allegion | 15.94 Bn | 14.56 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn |
| 10 | Lennox International | 11.88 Bn | 11.69 Bn | 497.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.00 Mn |
| Mar 31, 2026 | 57.00 Mn |
| Dec 31, 2025 | 87.00 Mn |
| Sep 30, 2025 | 400.00 Mn |
| Jun 30, 2025 | 51.00 Mn |
| Mar 31, 2025 | 62.00 Mn |
| Dec 31, 2024 | 33.00 Mn |
| Sep 30, 2024 | 133.00 Mn |
| Jun 30, 2024 | 103.00 Mn |
| Mar 31, 2024 | 239.00 Mn |
| Dec 31, 2023 | 35.00 Mn |
| Sep 30, 2023 | 205.00 Mn |
| Jun 30, 2023 | 81.00 Mn |
| Mar 31, 2023 | 418.00 Mn |
| Dec 31, 2022 | 345.00 Mn |
| Sep 30, 2022 | 147.00 Mn |
| Jun 30, 2022 | 121.00 Mn |
| Mar 31, 2022 | 384.00 Mn |
| Dec 31, 2021 | 49.00 Mn |
| Sep 30, 2021 | 67.00 Mn |
API Access
Johnson Controls International Restructuring Costs 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=restructuring-costs&ticker=JCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=JCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();