Idex (IEX) Accumulated Expenses (2009 - 2026)
Idex (IEX) posted Accumulated Expenses of $293.5 million for Q2 2026, up 8.2% from $271.3 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Idex (IEX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Idex's Accumulated Expenses came in at $297 million, up 6.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In prior years, Idex's Accumulated Expenses was $278.7 million in FY2024 (+2.7%), $271.5 million in FY2023 (-6.1%), $289.1 million in FY2022 (+11.3%) and $259.8 million in FY2021 (+24.4%).
- Quarterly Accumulated Expenses has run from a low of $247.9 million in Q2 2023 to a high of $302 million in Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last nine quarters, with growth averaging 5.3% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2022, with growth of 25.2%; the weakest was Q4 2023, with a decline of 6.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $280.6 million (Q1 2026), $297 million (Q4 2025) and $302 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Idex | 16.81 Bn | 14.43 Bn | 426.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 293.50 Mn |
| Mar 31, 2026 | 280.60 Mn |
| Dec 31, 2025 | 297.00 Mn |
| Sep 30, 2025 | 302.00 Mn |
| Jun 30, 2025 | 271.30 Mn |
| Mar 31, 2025 | 274.60 Mn |
| Dec 31, 2024 | 278.70 Mn |
| Sep 30, 2024 | 301.20 Mn |
| Jun 30, 2024 | 252.00 Mn |
| Mar 31, 2024 | 274.10 Mn |
| Dec 31, 2023 | 271.50 Mn |
| Sep 30, 2023 | 262.00 Mn |
| Jun 30, 2023 | 247.90 Mn |
| Mar 31, 2023 | 275.90 Mn |
| Dec 31, 2022 | 289.10 Mn |
| Sep 30, 2022 | 264.60 Mn |
| Jun 30, 2022 | 254.00 Mn |
| Mar 31, 2022 | 258.10 Mn |
| Dec 31, 2021 | 259.80 Mn |
| Sep 30, 2021 | 252.09 Mn |
API Access
Idex 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=IEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=IEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();