Itron (ITRI) Operating Expenses (2009 - 2026)
Itron (ITRI) reported Operating Expenses of $154.57 million for Q2 2026, up 5.0% from $147.21 million a year earlier but down 8.4% from the prior quarter.
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Analysis
Itron (ITRI) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Itron's Operating Expenses came in at $614.16 million, up 6.8% year-over-year; for FY2025, it came in at $579.05 million, up 0.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $575.21 million in FY2024 (-1.7%), $585.04 million in FY2023 (+10.5%), $529.63 million in FY2022 (-18.8%) and $652.47 million in FY2021 (+6.5%).
- Five-year quarterly Operating Expenses spans a low of $113.17 million in Q3 2022 and a high of $228.76 million in Q4 2021.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 4.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 96.8%); the low point was Q4 2022 (a decline of 43.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $168.74 million (Q1 2026), $153.08 million (Q4 2025) and $137.76 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 | Itron | 3.87 Bn | 85.07 Mn | 230.64 Mn | 154.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.57 Mn |
| Mar 31, 2026 | 168.74 Mn |
| Dec 31, 2025 | 153.08 Mn |
| Sep 30, 2025 | 137.76 Mn |
| Jun 30, 2025 | 147.21 Mn |
| Mar 31, 2025 | 141.01 Mn |
| Dec 31, 2024 | 151.15 Mn |
| Sep 30, 2024 | 135.67 Mn |
| Jun 30, 2024 | 145.81 Mn |
| Mar 31, 2024 | 142.58 Mn |
| Dec 31, 2023 | 147.12 Mn |
| Sep 30, 2023 | 132.31 Mn |
| Jun 30, 2023 | 138.85 Mn |
| Mar 31, 2023 | 166.76 Mn |
| Dec 31, 2022 | 128.42 Mn |
| Sep 30, 2022 | 113.17 Mn |
| Jun 30, 2022 | 159.63 Mn |
| Mar 31, 2022 | 128.41 Mn |
| Dec 31, 2021 | 228.76 Mn |
| Sep 30, 2021 | 130.80 Mn |
API Access
Itron 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=ITRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ITRI", "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=ITRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();