Emerson Electric (EMR) Operating Expenses (2009 - 2026)
Emerson Electric (EMR) posted Operating Expenses of $1.34 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 6.1% from $1.27 billion a year earlier and up 2.1% from the prior quarter.
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Analysis
Emerson Electric (EMR) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Emerson Electric was $5.23 billion, up 2.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $5.1 billion, down 0.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In prior fiscal years, Emerson Electric's Operating Expenses was $5.14 billion in FY2024 (+22.8%), $4.19 billion in FY2023 (+15.8%), $3.61 billion in FY2022 (+3.4%) and $3.49 billion in FY2021 (-12.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Expenses since fiscal Q1 2015.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 3.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2022, with growth of 166.4%; the weakest was fiscal Q4 2021, with a decline of 61.0%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $1.32 billion (Q2 2026), $1.24 billion (Q1 2026) and $1.33 billion (Q4 2025).
Peer Set
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 | Cummins | 71.14 Bn | 68.27 Bn | 2.47 Bn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.34 Bn |
| Mar 31, 2026 | 1.32 Bn |
| Dec 31, 2025 | 1.24 Bn |
| Sep 30, 2025 | 1.33 Bn |
| Jun 30, 2025 | 1.27 Bn |
| Mar 31, 2025 | 1.28 Bn |
| Dec 31, 2024 | 1.22 Bn |
| Sep 30, 2024 | 1.32 Bn |
| Jun 30, 2024 | 1.25 Bn |
| Mar 31, 2024 | 1.30 Bn |
| Dec 31, 2023 | 1.28 Bn |
| Sep 30, 2023 | 1.11 Bn |
| Jun 30, 2023 | 1.04 Bn |
| Mar 31, 2023 | 1.00 Bn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 983.00 Mn |
| Jun 30, 2022 | 894.00 Mn |
| Mar 31, 2022 | 888.00 Mn |
| Dec 31, 2021 | 849.00 Mn |
| Sep 30, 2021 | 369.00 Mn |
API Access
Emerson Electric 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=EMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();