Eastern (EML) Price to Book (2011 - 2026)
Eastern's (EML) Price to Book stood at 1.35 in Q2 2027, up 17.7% from 1.14 a year earlier and up 34.6% from the prior quarter.
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Analysis
Eastern (EML) Price to Book (2011 - 2026) Analysis & Trends
For FY2026, Eastern's Price to Book came in at 0.95.
- Across earlier years, Price to Book came in at 1.36 in FY2024 (+31.4%), 1.03 in FY2023 (+9.0%) and 0.95 in FY2022 (-30.9%).
- The Q2 2027 figure is the highest quarterly Price to Book since Q3 2022.
- Per Business Quant, the preceding three quarters came in at 1.00 (Q1 2027), 0.95 (Q4 2026) and 1.20 (Q3 2026).
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 | Eastern | 145.99 Mn | 106.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 1.35 |
| Apr 4, 2026 | 1.00 |
| Jan 3, 2026 | 0.95 |
| Sep 27, 2025 | 1.20 |
| Jun 28, 2025 | 1.14 |
| Mar 29, 2025 | 1.32 |
| Dec 28, 2024 | 1.36 |
| Sep 28, 2024 | 1.70 |
| Jun 29, 2024 | 1.16 |
| Mar 30, 2024 | 1.58 |
| Dec 30, 2023 | 1.03 |
| Jul 1, 2023 | 0.89 |
| Apr 1, 2023 | 0.96 |
| Dec 31, 2022 | 0.95 |
| Oct 1, 2022 | 0.87 |
| Jul 2, 2022 | 1.05 |
| Apr 2, 2022 | 1.23 |
| Dec 31, 2021 | 1.37 |
| Oct 2, 2021 | 1.40 |
| Jul 3, 2021 | 1.81 |
API Access
Eastern Price to Book 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-book&ticker=EML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=EML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();