Middleby (MIDD) Price to Earnings (2010 - 2025)
Middleby's Price to Earnings was 13.91 in Q2 2026, down 8.1% from the prior quarter.
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Analysis
Middleby (MIDD) Price to Earnings (2010 - 2025) Analysis & Trends
For FY2024, Price to Earnings at Middleby came in at 13.75, down 13.1% from FY2023.
- In earlier years, Price to Earnings was 15.83 in FY2023 (+19.7%), 13.23 in FY2022 (-25.3%) and 17.71 in FY2021.
- The Q2 2026 figure marks the lowest quarterly Price to Earnings since Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn |
| 10 | Middleby | 4.64 Bn | 3.58 Bn | 335.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2025 | 13.91 |
| Mar 29, 2025 | 15.14 |
| Dec 28, 2024 | 13.75 |
| Sep 28, 2024 | 15.63 |
| Jun 29, 2024 | 13.71 |
| Mar 30, 2024 | 17.91 |
| Dec 30, 2023 | 15.83 |
| Sep 30, 2023 | 12.06 |
| Jul 1, 2023 | 14.06 |
| Apr 1, 2023 | 14.03 |
| Dec 31, 2022 | 13.23 |
| Oct 1, 2022 | 8.73 |
| Jul 2, 2022 | 7.76 |
| Apr 2, 2022 | 9.88 |
| Jan 1, 2022 | 12.04 |
| Oct 2, 2021 | 17.78 |
| Jul 3, 2021 | 24.14 |
| Apr 3, 2021 | 33.25 |
| Jan 2, 2021 | 27.84 |
| Sep 26, 2020 | 15.26 |
API Access
Middleby Price to Earnings 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=price-to-earnings&ticker=MIDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MIDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();