Rockwell Automation (ROK) Change in Accured Expenses (2009 - 2026)
Rockwell Automation (ROK) reported Change in Accured Expenses of $47 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 16.1% from $56 million a year earlier and down 7.8% from the prior quarter.
Rockwell Automation (ROK) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rockwell Automation's Change in Accured Expenses came in at $55 million, down 57.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $168 million.
- By fiscal year, Change in Accured Expenses came in at -$255 million in FY2024, $209 million in FY2023, -$78.2 million in FY2022 and $174.6 million in FY2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$243 million in fiscal Q1 2024 and a high of $134.1 million in fiscal Q4 2023.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 6.7%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q4 2021 (growth of 340.0%); the low point was fiscal Q4 2024 (a decline of 68.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $51 million (Q2 2026), -$124 million (Q1 2026) and $81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 316.15 Bn | 287.84 Bn | 7.76 Bn | 715.00 Mn |
| 2 | Amphenol | 181.56 Bn | 176.14 Bn | 3.55 Bn | - |
| 3 | Deere | 173.99 Bn | 142.08 Bn | 4.66 Bn | 67.00 Mn |
| 4 | Eaton | 142.35 Bn | 139.53 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 111.11 Bn | 109.23 Bn | 2.25 Bn | - |
| 6 | Emerson Electric | 90.49 Bn | 83.23 Bn | 2.66 Bn | 191.00 Mn |
| 7 | 3M | 90.21 Bn | 71.66 Bn | 2.78 Bn | - |
| 8 | Illinois Tool Works | 79.13 Bn | 75.69 Bn | 1.90 Bn | 57.00 Mn |
| 9 | Vertiv Holdings | 75.00 Bn | 65.62 Bn | 1.23 Bn | 117.60 Mn |
| 10 | Rockwell Automation | 47.26 Bn | 45.44 Bn | 1.14 Bn | 47.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.00 Mn |
| Mar 31, 2026 | 51.00 Mn |
| Dec 31, 2025 | -124.00 Mn |
| Sep 30, 2025 | 81.00 Mn |
| Jun 30, 2025 | 56.00 Mn |
| Mar 31, 2025 | 43.00 Mn |
| Dec 31, 2024 | -12.00 Mn |
| Sep 30, 2024 | 42.00 Mn |
| Jun 30, 2024 | -12.00 Mn |
| Mar 31, 2024 | -42.00 Mn |
| Dec 31, 2023 | -243.00 Mn |
| Sep 30, 2023 | 134.10 Mn |
| Jun 30, 2023 | 60.80 Mn |
| Mar 31, 2023 | 54.30 Mn |
| Dec 31, 2022 | -40.20 Mn |
| Sep 30, 2022 | 36.70 Mn |
| Jun 30, 2022 | 30.10 Mn |
| Mar 31, 2022 | -9.70 Mn |
| Dec 31, 2021 | -135.30 Mn |
| Sep 30, 2021 | 33.00 Mn |
Rockwell Automation Change in Accured 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=change-in-accured-expenses&ticker=ROK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();