Trane Technologies (TT) Accumulated Expenses (2009 - 2026)
Trane Technologies (TT) recorded Accumulated Expenses of $4.12 billion in Q2 2026, up 36.8% from $3.01 billion a year earlier and up 12.5% from the prior quarter.
Trane Technologies (TT) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Trane Technologies reported Accumulated Expenses of $2.83 billion, up 1.2% from FY2024.
- Annual Accumulated Expenses has increased for three straight years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $2.79 billion in FY2024 (+5.9%), $2.63 billion in FY2023 (+31.3%), $2.01 billion in FY2022 (-3.1%) and $2.07 billion in FY2021 (+30.0%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q2 2009.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 36.8% in Q2 2026, against a decline of 3.1% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.66 billion (Q1 2026), $2.83 billion (Q4 2025) and $2.82 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Lennox International | 12.27 Bn | 12.07 Bn | 539.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.12 Bn |
| Mar 31, 2026 | 3.66 Bn |
| Dec 31, 2025 | 2.83 Bn |
| Sep 30, 2025 | 2.82 Bn |
| Jun 30, 2025 | 3.01 Bn |
| Mar 31, 2025 | 2.79 Bn |
| Dec 31, 2024 | 2.79 Bn |
| Sep 30, 2024 | 2.86 Bn |
| Jun 30, 2024 | 2.96 Bn |
| Mar 31, 2024 | 2.76 Bn |
| Dec 31, 2023 | 2.63 Bn |
| Sep 30, 2023 | 2.26 Bn |
| Jun 30, 2023 | 2.44 Bn |
| Mar 31, 2023 | 2.17 Bn |
| Dec 31, 2022 | 2.01 Bn |
| Sep 30, 2022 | 1.96 Bn |
| Jun 30, 2022 | 2.12 Bn |
| Mar 31, 2022 | 1.91 Bn |
| Dec 31, 2021 | 2.07 Bn |
| Sep 30, 2021 | 1.74 Bn |
Trane Technologies Accumulated Expenses 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=accumulated-expenses&ticker=TT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();