Trane Technologies (TT) Exchange Rate Effect (2009 - 2026)
Trane Technologies' Exchange Rate Effect was $200,000 in Q2 2026, down 99.8% from $80.3 million a year earlier.
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Analysis
Trane Technologies (TT) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Trane Technologies' Exchange Rate Effect was -$18.3 million through Jun 30, 2026; for FY2025, it came in at $114.5 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In earlier years, Exchange Rate Effect was -$67.3 million in FY2024, $7.7 million in FY2023, -$50.1 million in FY2022 and -$45.7 million in FY2021.
- Quarterly Exchange Rate Effect has moved between -$73.1 million (Q4 2024) and $80.3 million (Q2 2025) over five years.
- Per Business Quant data, TT's Exchange Rate Effect in the three quarters before Q2 2026 was -$13.6 million (Q1 2026), $2.7 million (Q4 2025) and -$7.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 200,000.00 |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | -1.00 Mn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 3.00 Mn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | -4.00 Mn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | -1.40 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 1.00 Mn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | -1.20 Mn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | -300,000.00 |
| 10 | Lennox International | 12.35 Bn | 12.15 Bn | 539.50 Mn | -2.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200,000.00 |
| Mar 31, 2026 | -13.60 Mn |
| Dec 31, 2025 | 2.70 Mn |
| Sep 30, 2025 | -7.60 Mn |
| Jun 30, 2025 | 80.30 Mn |
| Mar 31, 2025 | 39.10 Mn |
| Dec 31, 2024 | -73.10 Mn |
| Sep 30, 2024 | 38.70 Mn |
| Jun 30, 2024 | -8.70 Mn |
| Mar 31, 2024 | -24.20 Mn |
| Dec 31, 2023 | 34.80 Mn |
| Sep 30, 2023 | -21.10 Mn |
| Jun 30, 2023 | -20.10 Mn |
| Mar 31, 2023 | 14.10 Mn |
| Dec 31, 2022 | 33.80 Mn |
| Sep 30, 2022 | -41.70 Mn |
| Jun 30, 2022 | -37.50 Mn |
| Mar 31, 2022 | -4.70 Mn |
| Dec 31, 2021 | -7.20 Mn |
| Sep 30, 2021 | -10.10 Mn |
API Access
Trane Technologies 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=TT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "TT", "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=TT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();