Middleby (MIDD) Accumulated Expenses (2010 - 2026)
Middleby (MIDD) posted Accumulated Expenses of $549.38 million for Q2 2027, down 8.6% from $601.03 million a year earlier.
Analysis
Middleby (MIDD) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026, Middleby's Accumulated Expenses came in at $574.81 million.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- In prior years, Middleby's Accumulated Expenses was $493.68 million in FY2024 (-14.8%), $579.19 million in FY2023 (-13.7%) and $671.33 million in FY2022 (+15.2%).
- The Q2 2027 figure stands as the lowest quarterly Accumulated Expenses since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn |
| 10 | Middleby | 6.19 Bn | 5.46 Bn | 335.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 549.38 Mn |
| Jan 3, 2026 | 574.81 Mn |
| Sep 27, 2025 | 651.50 Mn |
| Jun 28, 2025 | 601.03 Mn |
| Mar 29, 2025 | 611.36 Mn |
| Dec 28, 2024 | 493.68 Mn |
| Sep 28, 2024 | 555.96 Mn |
| Jun 29, 2024 | 573.88 Mn |
| Mar 30, 2024 | 562.91 Mn |
| Dec 30, 2023 | 579.19 Mn |
| Sep 30, 2023 | 595.54 Mn |
| Jul 1, 2023 | 601.42 Mn |
| Apr 1, 2023 | 664.03 Mn |
| Dec 31, 2022 | 671.33 Mn |
| Oct 1, 2022 | 631.95 Mn |
| Jul 2, 2022 | 604.18 Mn |
| Apr 2, 2022 | 585.36 Mn |
| Jan 1, 2022 | 582.86 Mn |
| Oct 2, 2021 | 547.00 Mn |
| Jul 3, 2021 | 485.15 Mn |
API Access
Middleby 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=MIDD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MIDD", "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=MIDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();