Trane Technologies (TT) Selling, General & Administrative (2009 - 2026)
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Analysis
Trane Technologies (TT) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 91.50 Bn | 86.14 Bn | 2.38 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 83.63 Bn | 81.11 Bn | 2.71 Bn | 1.48 Bn |
| 3 | Carrier Global | 44.36 Bn | 39.10 Bn | 1.90 Bn | 758.00 Mn |
| 4 | Comfort Systems Usa | 38.92 Bn | 32.88 Bn | 934.48 Mn | 314.17 Mn |
| 5 | Otis Worldwide | 29.51 Bn | 26.06 Bn | 1.16 Bn | 489.00 Mn |
| 6 | Masco | 16.33 Bn | 14.40 Bn | 720.00 Mn | 381.00 Mn |
| 7 | Allegion | 16.19 Bn | 14.81 Bn | 548.20 Mn | 263.60 Mn |
| 8 | James Hardie Industries | 16.17 Bn | 15.36 Bn | 562.40 Mn | 268.50 Mn |
| 9 | Carlisle Companies | 15.38 Bn | 12.28 Bn | 494.90 Mn | 186.10 Mn |
| 10 | Madison Air Solutions | 12.50 Bn | 9.16 Bn | 422.70 Mn | 149.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.04 Bn |
| Jun 30, 2026 | 1.04 Bn |
| Mar 31, 2026 | 952.00 Mn |
| Dec 31, 2025 | 934.90 Mn |
| Sep 30, 2025 | 952.90 Mn |
| Jun 30, 2025 | 996.40 Mn |
| Mar 31, 2025 | 858.60 Mn |
| Dec 31, 2024 | 903.20 Mn |
| Sep 30, 2024 | 949.80 Mn |
| Jun 30, 2024 | 901.30 Mn |
| Mar 31, 2024 | 826.10 Mn |
| Dec 31, 2023 | 783.70 Mn |
| Sep 30, 2023 | 793.90 Mn |
| Jun 30, 2023 | 699.00 Mn |
| Mar 31, 2023 | 686.70 Mn |
| Dec 31, 2022 | 638.90 Mn |
| Sep 30, 2022 | 693.30 Mn |
| Jun 30, 2022 | 612.80 Mn |
| Mar 31, 2022 | 600.80 Mn |
| Dec 31, 2021 | 605.80 Mn |
API Access
Trane Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=TT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();