Emerson Electric (EMR) Total Non-Current Liabilities (2009 - 2026)
Emerson Electric (EMR) reported Total Non-Current Liabilities of $18.3 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 3.7% from $19.01 billion a year earlier but up 0.5% from the prior quarter.
Emerson Electric (EMR) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Emerson Electric posted Total Non-Current Liabilities of $18.12 billion, up 40.5% from FY2024.
- Total Non-Current Liabilities has a three-year compound annual growth rate of 3.8% (FY2022 to FY2025).
- By fiscal year, Total Non-Current Liabilities came in at $12.9 billion in FY2024 (+61.1%), $8.01 billion in FY2023 (-50.6%) and $16.2 billion in FY2022.
- Five-year quarterly Total Non-Current Liabilities spans a low of $8.01 billion in fiscal Q4 2023 and a high of $19.02 billion in fiscal Q2 2025.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 21.6%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q4 2024 (growth of 61.1%); the low point was fiscal Q4 2023 (a decline of 50.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $18.21 billion (Q2 2026), $18.1 billion (Q1 2026) and $18.12 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Cummins | 71.14 Bn | 68.27 Bn | 2.47 Bn | 18.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.30 Bn |
| Mar 31, 2026 | 18.21 Bn |
| Dec 31, 2025 | 18.10 Bn |
| Sep 30, 2025 | 18.12 Bn |
| Jun 30, 2025 | 19.01 Bn |
| Mar 31, 2025 | 19.02 Bn |
| Dec 31, 2024 | 12.52 Bn |
| Sep 30, 2024 | 12.90 Bn |
| Jun 30, 2024 | 14.70 Bn |
| Mar 31, 2024 | 15.28 Bn |
| Dec 31, 2023 | 15.40 Bn |
| Sep 30, 2023 | 8.01 Bn |
| Jun 30, 2023 | 14.26 Bn |
| Mar 31, 2023 | 15.87 Bn |
| Dec 31, 2022 | 16.47 Bn |
| Sep 30, 2022 | 16.20 Bn |
| Mar 31, 2017 | 7.59 Bn |
| Dec 31, 2016 | 8.05 Bn |
| Sep 30, 2016 | 12.39 Bn |
| Jun 30, 2016 | 12.39 Bn |
Emerson Electric Total Non-Current 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-non-current-liabilities&ticker=EMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "EMR", "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-non-current-liabilities&ticker=EMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();