Johnson Controls International (JCI) Exchange Rate Effect (2009 - 2026)
Johnson Controls International (JCI) posted Exchange Rate Effect of $7 million for fiscal Q4 2026 (quarter ended Sep 30, 2026), compared with -$43 million a year earlier.
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Analysis
Johnson Controls International (JCI) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Johnson Controls International's Exchange Rate Effect came in at $129 million.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 2.1% (FY2021 to FY2026).
- In prior fiscal years, Johnson Controls International's Exchange Rate Effect was -$259 million in FY2025, $59 million in FY2024, -$5 million in FY2023 and -$53 million in FY2022.
- Quarterly Exchange Rate Effect has run from a low of -$201 million in fiscal Q3 2025 to a high of $154 million in fiscal Q1 2025 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was -$1 million (Q3 2026), $118 million (Q2 2026) and $5 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 93.66 Bn | 88.28 Bn | 2.38 Bn | -3.40 Mn |
| 2 | Johnson Controls International | 87.35 Bn | 85.08 Bn | 2.47 Bn | -1.00 Mn |
| 3 | Carrier Global | 43.73 Bn | 38.10 Bn | 1.90 Bn | 3.00 Mn |
| 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 | 7.00 Mn |
| 6 | James Hardie Industries | 17.19 Bn | 15.75 Bn | 562.40 Mn | 1.30 Mn |
| 7 | Masco | 16.43 Bn | 14.23 Bn | 720.00 Mn | 2.00 Mn |
| 8 | Allegion | 15.94 Bn | 14.56 Bn | 548.20 Mn | -1.70 Mn |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn | 100,000.00 |
| 10 | Lennox International | 11.88 Bn | 11.69 Bn | 497.20 Mn | 1.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.00 Mn |
| Mar 31, 2026 | 118.00 Mn |
| Dec 31, 2025 | 5.00 Mn |
| Sep 30, 2025 | -43.00 Mn |
| Jun 30, 2025 | -201.00 Mn |
| Mar 31, 2025 | -169.00 Mn |
| Dec 31, 2024 | 154.00 Mn |
| Sep 30, 2024 | 30.00 Mn |
| Jun 30, 2024 | 10.00 Mn |
| Mar 31, 2024 | -41.00 Mn |
| Dec 31, 2023 | 60.00 Mn |
| Sep 30, 2023 | 62.00 Mn |
| Jun 30, 2023 | -75.00 Mn |
| Mar 31, 2023 | 22.00 Mn |
| Dec 31, 2022 | -14.00 Mn |
| Sep 30, 2022 | -4.00 Mn |
| Jun 30, 2022 | -95.00 Mn |
| Mar 31, 2022 | -21.00 Mn |
| Dec 31, 2021 | 67.00 Mn |
| Sep 30, 2021 | 49.00 Mn |
API Access
Johnson Controls International Exchange Rate Effect 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=exchange-rate-effect&ticker=JCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=JCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();