Trane Technologies (TT) Cost of Revenue (2009 - 2026)
Trane Technologies' Cost of Revenue came in at $4.37 billion for Q3 2026, up 20.7% from $3.62 billion a year earlier and up 6.9% from the prior quarter.
Trane Technologies (TT) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Trane Technologies reported Cost of Revenue of $15.1 billion, up 12.8% year-over-year; for FY2025, it came in at $13.61 billion, up 6.7% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $12.76 billion in FY2024 (-37.0%), $20.23 billion in FY2023 (+132.2%), $8.71 billion in FY2022 (-9.9%) and $9.67 billion in FY2021 (+11.7%).
- The Q3 2026 figure represents the highest quarterly Cost of Revenue since Q4 2023.
- Year-over-year, Cost of Revenue has increased for seven consecutive quarters, with an average decline of 0.3% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2026 (growth of 20.7%), and the weakest in Q4 2022 (a decline of 78.6%).
- Business Quant data shows TT's Cost of Revenue at $4.09 billion (Q2 2026), $3.24 billion (Q1 2026) and $3.39 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 4.37 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 4.36 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 2.83 Bn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 2.76 Bn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 865.80 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 1.25 Bn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 624.40 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 968.50 Mn |
| 10 | Lennox International | 11.75 Bn | 11.57 Bn | 497.20 Mn | 1.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.37 Bn |
| Jun 30, 2026 | 4.09 Bn |
| Mar 31, 2026 | 3.24 Bn |
| Dec 31, 2025 | 3.39 Bn |
| Sep 30, 2025 | 3.62 Bn |
| Jun 30, 2025 | 3.59 Bn |
| Mar 31, 2025 | 3.01 Bn |
| Dec 31, 2024 | 3.16 Bn |
| Sep 30, 2024 | 3.47 Bn |
| Jun 30, 2024 | 3.37 Bn |
| Mar 31, 2024 | 2.76 Bn |
| Dec 31, 2023 | 11.37 Bn |
| Sep 30, 2023 | 3.22 Bn |
| Jun 30, 2023 | 3.12 Bn |
| Mar 31, 2023 | 2.52 Bn |
| Dec 31, 2022 | 541.50 Mn |
| Sep 30, 2022 | 2.94 Bn |
| Jun 30, 2022 | 2.87 Bn |
| Mar 31, 2022 | 2.37 Bn |
| Dec 31, 2021 | 2.53 Bn |
Trane Technologies Cost of Revenue 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=cost-of-revenue&ticker=TT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();