Emerson Electric (EMR) Accumulated Expenses (2009 - 2026)
Emerson Electric (EMR) recorded quarterly Accumulated Expenses of $3.6 billion in Q2 2026, up 5.62% on a QoQ basis from $3.4 billion in Q1 2026, and up 1.85% YoY from $3.5 billion in Q2 2025.
Emerson Electric (EMR) Accumulated Expenses (2009 - 2026) Analysis & Trends
Emerson Electric (EMR) has reported Accumulated Expenses for 18 consecutive years, with $3.6 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses rose 1.85% year-over-year to $3.6 billion; the trailing twelve-month figure through Jun 2026 stood at $3.6 billion (up 1.85% YoY), and the FY2025 full-year result was $3.6 billion, down 6.68% from the prior year.
- Accumulated Expenses was $3.6 billion for Q2 2026 at Emerson Electric, up from $3.4 billion in the prior quarter.
- The five-year high for Accumulated Expenses was $4.7 billion in Q2 2023, with the low at $3.0 billion in Q3 2022.
- Historically, Accumulated Expenses has averaged $3.5 billion across 5 years, with a median of $3.4 billion in 2024.
- Annual changes were most pronounced in 2023 — Accumulated Expenses jumped 33.4% — and 2024, when it decreased 29.16%.
- Tracing EMR's Accumulated Expenses over 5 years: stood at $3.9 billion in 2022, then slipped by 16.33% to $3.3 billion in 2023, then rose by 9.93% to $3.6 billion in 2024, then retreated by 7.79% to $3.3 billion in 2025, then grew by 6.66% to $3.6 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $3.6 billion in Q2 2026, $3.4 billion in Q1 2026, and $3.3 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn |
| 10 | Cummins | 72.43 Bn | 68.82 Bn | 2.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.57 Bn |
| Mar 31, 2026 | 3.38 Bn |
| Dec 31, 2025 | 3.35 Bn |
| Sep 30, 2025 | 3.62 Bn |
| Jun 30, 2025 | 3.51 Bn |
| Mar 31, 2025 | 3.32 Bn |
| Dec 31, 2024 | 3.63 Bn |
| Sep 30, 2024 | 3.88 Bn |
| Jun 30, 2024 | 3.35 Bn |
| Mar 31, 2024 | 3.24 Bn |
| Dec 31, 2023 | 3.30 Bn |
| Sep 30, 2023 | 3.21 Bn |
| Jun 30, 2023 | 4.73 Bn |
| Mar 31, 2023 | 3.25 Bn |
| Dec 31, 2022 | 3.95 Bn |
| Sep 30, 2022 | 3.04 Bn |
| Jun 30, 2022 | 3.55 Bn |
| Mar 31, 2022 | 3.26 Bn |
| Dec 31, 2021 | 3.19 Bn |
| Sep 30, 2021 | 3.27 Bn |
Emerson Electric Accumulated 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=accumulated-expenses&ticker=EMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();