Rockwell Automation (ROK) Total Liabilities (2009 - 2026)
Rockwell Automation's Total Liabilities was $7.6 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.4% from $7.57 billion a year earlier but down 1.1% from the prior quarter.
Rockwell Automation (ROK) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Liabilities at Rockwell Automation came in at $7.51 billion, down 0.6% from FY2024.
- Total Liabilities has now declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $7.56 billion in FY2024 (-0.1%), $7.56 billion in FY2023 (-2.3%), $7.74 billion in FY2022 (-3.3%) and $8.01 billion in FY2021 (+35.3%).
- Quarterly Total Liabilities has moved between $7.39 billion (fiscal Q1 2025) and $8.12 billion (fiscal Q3 2023) over five years.
- Compared with a year earlier, Total Liabilities has increased for three straight quarters, with an average decline of 0.4% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2022 (growth of 35.4%); the worst was fiscal Q3 2024 (a decline of 5.4%).
- Per Business Quant data, ROK's Total Liabilities in the three fiscal quarters before Q3 2026 was $7.68 billion (Q2 2026), $7.43 billion (Q1 2026) and $7.51 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Rockwell Automation | 48.36 Bn | 46.55 Bn | 1.14 Bn | 7.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.60 Bn |
| Mar 31, 2026 | 7.68 Bn |
| Dec 31, 2025 | 7.43 Bn |
| Sep 30, 2025 | 7.51 Bn |
| Jun 30, 2025 | 7.57 Bn |
| Mar 31, 2025 | 7.39 Bn |
| Dec 31, 2024 | 7.39 Bn |
| Sep 30, 2024 | 7.56 Bn |
| Jun 30, 2024 | 7.68 Bn |
| Mar 31, 2024 | 7.65 Bn |
| Dec 31, 2023 | 7.55 Bn |
| Sep 30, 2023 | 7.56 Bn |
| Jun 30, 2023 | 8.12 Bn |
| Mar 31, 2023 | 8.03 Bn |
| Dec 31, 2022 | 7.95 Bn |
| Sep 30, 2022 | 7.74 Bn |
| Jun 30, 2022 | 8.11 Bn |
| Mar 31, 2022 | 7.79 Bn |
| Dec 31, 2021 | 7.94 Bn |
| Sep 30, 2021 | 8.01 Bn |
Rockwell Automation Total Liabilities 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=total-liabilities&ticker=ROK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();