Idex (IEX) EBITDA (2009 - 2026)
Idex's EBITDA was $253.3 million in Q2 2026, up 6.0% from $238.9 million a year earlier and up 12.0% from the prior quarter.
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Analysis
Idex (IEX) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Idex's EBITDA was $954.4 million through Jun 30, 2026, up 11.1% year-over-year; for FY2025, it was $905.8 million, up 6.2% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In earlier years, EBITDA was $852.8 million in FY2024 (-3.6%), $884.6 million in FY2023 (+1.5%), $871.1 million in FY2022 (+17.7%) and $740 million in FY2021 (+22.5%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2009.
- Compared with a year earlier, EBITDA has increased for five straight quarters, with growth averaging 6.6% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2021 (growth of 23.4%); the worst was Q1 2024 (a decline of 11.7%).
- Per Business Quant data, IEX's EBITDA in the three quarters before Q2 2026 was $226.1 million (Q1 2026), $237.1 million (Q4 2025) and $237.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 1.32 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 1.25 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 754.30 Mn |
| 10 | Idex | 17.24 Bn | 14.86 Bn | 426.80 Mn | 253.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 253.30 Mn |
| Mar 31, 2026 | 226.10 Mn |
| Dec 31, 2025 | 237.10 Mn |
| Sep 30, 2025 | 237.90 Mn |
| Jun 30, 2025 | 238.90 Mn |
| Mar 31, 2025 | 191.90 Mn |
| Dec 31, 2024 | 216.00 Mn |
| Sep 30, 2024 | 211.90 Mn |
| Jun 30, 2024 | 222.90 Mn |
| Mar 31, 2024 | 202.00 Mn |
| Dec 31, 2023 | 200.10 Mn |
| Sep 30, 2023 | 218.10 Mn |
| Jun 30, 2023 | 238.10 Mn |
| Mar 31, 2023 | 229.10 Mn |
| Dec 31, 2022 | 209.00 Mn |
| Sep 30, 2022 | 231.90 Mn |
| Jun 30, 2022 | 216.40 Mn |
| Mar 31, 2022 | 215.50 Mn |
| Sep 30, 2021 | 188.60 Mn |
| Jun 30, 2021 | 183.30 Mn |
API Access
Idex EBITDA 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=ebitda&ticker=IEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=IEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();