Idex (IEX) Operating Expenses (2009 - 2026)
Idex (IEX) posted Operating Expenses of $226.9 million for Q2 2026, up 11.1% from $204.3 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Idex (IEX) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Idex was $860.9 million, up 5.1% year-over-year; for FY2025, it was $839.5 million, up 9.3% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In prior years, Idex's Operating Expenses was $768 million in FY2024 (+7.5%), $714.4 million in FY2023 (+5.8%), $675.5 million in FY2022 (+15.0%) and $587.5 million in FY2021 (+15.9%).
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 9.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 25.0%; the weakest was Q3 2023, with a decline of 5.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $225.7 million (Q1 2026), $203.5 million (Q4 2025) and $204.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Idex | 17.04 Bn | 14.66 Bn | 426.80 Mn | 226.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 226.90 Mn |
| Mar 31, 2026 | 225.70 Mn |
| Dec 31, 2025 | 203.50 Mn |
| Sep 30, 2025 | 204.80 Mn |
| Jun 30, 2025 | 204.30 Mn |
| Mar 31, 2025 | 226.90 Mn |
| Dec 31, 2024 | 201.80 Mn |
| Sep 30, 2024 | 185.90 Mn |
| Jun 30, 2024 | 184.10 Mn |
| Mar 31, 2024 | 196.20 Mn |
| Dec 31, 2023 | 176.30 Mn |
| Sep 30, 2023 | 170.00 Mn |
| Jun 30, 2023 | 177.90 Mn |
| Mar 31, 2023 | 190.20 Mn |
| Dec 31, 2022 | 170.70 Mn |
| Sep 30, 2022 | 179.60 Mn |
| Jun 30, 2022 | 170.30 Mn |
| Mar 31, 2022 | 154.90 Mn |
| Dec 31, 2021 | 152.20 Mn |
| Sep 30, 2021 | 150.40 Mn |
API Access
Idex 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=IEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IEX", "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=IEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();