Johnson Controls International (JCI) Restructuring Costs (2009 - 2026)
Johnson Controls International's Restructuring Costs was $80 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 56.9% from $51 million a year earlier and up 40.4% from the prior quarter.
Johnson Controls International (JCI) Restructuring Costs (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Johnson Controls International's Restructuring Costs was $624 million through Jun 30, 2026, up 123.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $546 million, up 7.1% from FY2024.
- Restructuring Costs shows a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- In earlier fiscal years, Restructuring Costs was $510 million in FY2024 (-51.4%), $1.05 billion in FY2023 (+49.6%), $701 million in FY2022 (+189.7%) and $242 million in FY2021 (-69.1%).
- 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 31.0%.
- 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 Q3 2026 was $57 million (Q2 2026), $87 million (Q1 2026) and $400 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn |
| 10 | Lennox International | 12.44 Bn | 12.25 Bn | 539.50 Mn |
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 |
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();