Itt (ITT) Operating Expenses (2009 - 2026)
Itt (ITT) recorded Operating Expenses of $179.7 million in Q2 2026, up 59.4% from $112.7 million a year earlier but down 4.0% from the prior quarter.
Itt (ITT) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Itt's Operating Expenses came in at $619.2 million as of Jul 4, 2026, up 44.5% year-over-year; for FY2025, it came in at $479.2 million, up 15.9% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $413.4 million in FY2024 (+1.6%), $406.9 million in FY2023 (+28.2%), $317.5 million in FY2022 (-5.3%) and $335.4 million in FY2021 (+2.1%).
- Quarterly Operating Expenses has ranged from $71.9 million in Q3 2022 to $187.2 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for six consecutive quarters, with growth averaging 24.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 69.6% in Q1 2026, against a decline of 17.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $187.2 million (Q1 2026), $134.4 million (Q4 2025) and $117.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | - |
| 10 | Itt | 17.73 Bn | 14.28 Bn | 510.10 Mn | 179.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 179.70 Mn |
| Apr 4, 2026 | 187.20 Mn |
| Dec 31, 2025 | 134.40 Mn |
| Sep 27, 2025 | 117.90 Mn |
| Jun 28, 2025 | 112.70 Mn |
| Mar 29, 2025 | 110.40 Mn |
| Dec 31, 2024 | 102.00 Mn |
| Sep 28, 2024 | 103.40 Mn |
| Jun 29, 2024 | 106.50 Mn |
| Mar 30, 2024 | 101.50 Mn |
| Dec 31, 2023 | 109.10 Mn |
| Sep 30, 2023 | 91.90 Mn |
| Jul 1, 2023 | 94.10 Mn |
| Apr 1, 2023 | 94.70 Mn |
| Dec 31, 2022 | 75.10 Mn |
| Oct 1, 2022 | 71.90 Mn |
| Jul 2, 2022 | 81.30 Mn |
| Apr 2, 2022 | 85.40 Mn |
| Dec 31, 2021 | 80.80 Mn |
| Oct 2, 2021 | 87.40 Mn |
Itt 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=ITT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ITT", "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=ITT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();