Rockwell Automation (ROK) Operating Expenses (2009 - 2026)
Rockwell Automation (ROK) reported Operating Expenses of $663 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.7% from $668 million a year earlier but up 0.8% from the prior quarter.
Rockwell Automation (ROK) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rockwell Automation's Operating Expenses came in at $2.63 billion, up 9.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $2.59 billion, down 2.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $2.66 billion in FY2024 (-2.6%), $2.73 billion in FY2023 (+54.5%), $1.77 billion in FY2022 (+5.2%) and $1.68 billion in FY2021 (+13.5%).
- Five-year quarterly Operating Expenses spans a low of $428.5 million in fiscal Q2 2022 and a high of $668 million in fiscal Q3 2025.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 14.1%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2025 (growth of 36.5%); the low point was fiscal Q4 2024 (a decline of 12.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $658 million (Q2 2026), $650 million (Q1 2026) and $662 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Rockwell Automation | 48.36 Bn | 46.55 Bn | 1.14 Bn | 663.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 663.00 Mn |
| Mar 31, 2026 | 658.00 Mn |
| Dec 31, 2025 | 650.00 Mn |
| Sep 30, 2025 | 662.00 Mn |
| Jun 30, 2025 | 668.00 Mn |
| Mar 31, 2025 | 631.00 Mn |
| Dec 31, 2024 | 632.00 Mn |
| Sep 30, 2024 | 485.00 Mn |
| Jun 30, 2024 | 501.00 Mn |
| Mar 31, 2024 | 501.00 Mn |
| Dec 31, 2023 | 514.00 Mn |
| Sep 30, 2023 | 551.90 Mn |
| Jun 30, 2023 | 501.40 Mn |
| Mar 31, 2023 | 501.20 Mn |
| Dec 31, 2022 | 469.50 Mn |
| Sep 30, 2022 | 448.70 Mn |
| Jun 30, 2022 | 442.00 Mn |
| Mar 31, 2022 | 428.50 Mn |
| Dec 31, 2021 | 447.50 Mn |
| Sep 30, 2021 | 447.20 Mn |
Rockwell Automation 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=ROK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ROK", "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=ROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();