Eastern (EML) Price to Earnings (2011 - 2026)
Eastern's (EML) Price to Earnings stood at 21.79 in Q2 2027, up 1.9% from the prior quarter.
Analysis
Eastern (EML) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2026, Eastern's Price to Earnings came in at 16.63.
- Across earlier years, Price to Earnings came in at 15.93 in FY2023 (+63.4%) and 9.75 in FY2022 (+0.5%).
- The Q2 2027 figure is the highest quarterly Price to Earnings since Q2 2022.
- Per Business Quant, the preceding three quarters came in at 21.39 (Q1 2027), 16.63 (Q4 2026) and 20.50 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Eastern | 148.09 Mn | 108.14 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 21.79 |
| Apr 4, 2026 | 21.39 |
| Jan 3, 2026 | 16.63 |
| Sep 27, 2025 | 20.50 |
| Jun 29, 2024 | 13.18 |
| Mar 30, 2024 | 21.41 |
| Dec 30, 2023 | 15.93 |
| Sep 28, 2023 | 20.62 |
| Jul 1, 2023 | 15.58 |
| Apr 1, 2023 | 12.29 |
| Dec 31, 2022 | 9.75 |
| Oct 1, 2022 | 7.06 |
| Jul 2, 2022 | 7.74 |
| Apr 2, 2022 | 18.44 |
| Dec 31, 2021 | 14.71 |
| Oct 2, 2021 | 18.05 |
| Jul 3, 2021 | 33.47 |
| Apr 3, 2021 | 19.91 |
| Jan 2, 2021 | 27.85 |
| Oct 3, 2020 | 13.83 |
API Access
Eastern 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=EML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "EML", "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=EML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();