Middleby (MIDD) Buildings (2011 - 2026)
Middleby's Buildings came in at $327.91 million for FY2026.
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Analysis
Middleby (MIDD) Buildings (2011 - 2026) Analysis & Trends
Going back to FY2010, Middleby's Buildings data covers 14 years.
- Buildings carries a five-year compound annual growth rate of 3.9% (FY2021 to FY2026).
- The FY2026 figure represents the highest annual Buildings since FY2023.
- Per Business Quant, earlier years put Buildings at $282.13 million in FY2024 (-18.6%), $346.53 million in FY2023 (+13.2%) and $306 million in FY2022 (+13.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Middleby | 4.82 Bn | 3.76 Bn | 335.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | 327.91 Mn |
| Dec 28, 2024 | 282.13 Mn |
| Dec 30, 2023 | 346.53 Mn |
| Dec 31, 2022 | 306.00 Mn |
| Jan 1, 2022 | 270.81 Mn |
| Jan 2, 2021 | 245.44 Mn |
| Dec 28, 2019 | 229.03 Mn |
| Dec 29, 2018 | 196.74 Mn |
| Dec 30, 2017 | 175.68 Mn |
| Dec 31, 2016 | 134.16 Mn |
| Jan 2, 2016 | 108.21 Mn |
| Jan 3, 2015 | 84.78 Mn |
| Dec 28, 2013 | 80.05 Mn |
| Dec 29, 2012 | 48.16 Mn |
| Dec 31, 2011 | 46.10 Mn |
| Jan 1, 2011 | 37.80 Mn |
API Access
Middleby Buildings 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=buildings&ticker=MIDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=MIDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();