Otis Worldwide (OTIS) Operating Expenses (2019 - 2026)
Otis Worldwide (OTIS) reported Operating Expenses of $3.28 billion for Q2 2026, up 7.9% from $3.04 billion a year earlier and up 8.2% from the prior quarter.
Otis Worldwide (OTIS) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Otis Worldwide's Operating Expenses came in at $12.61 billion, up 5.2% year-over-year; for FY2025, it was $12.19 billion, up 1.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $12.02 billion in FY2024 (-0.2%), $12.04 billion in FY2023 (+3.1%), $11.68 billion in FY2022 (-4.4%) and $12.21 billion in FY2021 (+10.5%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q1 2019.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 2.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 9.7%); the low point was Q3 2022 (a decline of 8.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.03 billion (Q1 2026), $3.2 billion (Q4 2025) and $3.1 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Lennox International | 12.27 Bn | 12.07 Bn | 539.50 Mn | 183.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.28 Bn |
| Mar 31, 2026 | 3.03 Bn |
| Dec 31, 2025 | 3.20 Bn |
| Sep 30, 2025 | 3.10 Bn |
| Jun 30, 2025 | 3.04 Bn |
| Mar 31, 2025 | 2.85 Bn |
| Dec 31, 2024 | 3.14 Bn |
| Sep 30, 2024 | 2.97 Bn |
| Jun 30, 2024 | 3.01 Bn |
| Mar 31, 2024 | 2.91 Bn |
| Dec 31, 2023 | 3.09 Bn |
| Sep 30, 2023 | 2.97 Bn |
| Jun 30, 2023 | 3.15 Bn |
| Mar 31, 2023 | 2.84 Bn |
| Dec 31, 2022 | 2.97 Bn |
| Sep 30, 2022 | 2.83 Bn |
| Jun 30, 2022 | 2.98 Bn |
| Mar 31, 2022 | 2.90 Bn |
| Dec 31, 2021 | 3.08 Bn |
| Sep 30, 2021 | 3.08 Bn |
Otis Worldwide Operating 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=operating-expenses&ticker=OTIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OTIS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=OTIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();