MDWerks (MDWK) Price to Book (2023 - 2026)
MDWerks' Price to Book came in at 53.80 for Q2 2026, up 11.6% from 48.21 a year earlier and up 14.2% from the prior quarter.
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Analysis
MDWerks (MDWK) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, MDWerks' Price to Book was 35.03, down 57.7% from FY2024.
- Going back by year, Price to Book was 82.77 in FY2024 and 5.58 in FY2023.
- The Q2 2026 figure represents the highest quarterly Price to Book since Q4 2024.
- Year-over-year, Price to Book increased in four of the last six quarters, with growth averaging 13.6%.
- Business Quant data shows MDWK's Price to Book at 47.13 (Q1 2026), 35.03 (Q4 2025) and 34.93 (Q3 2025) in the three quarters before Q2 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 | MDWerks | 16.79 Mn | 16.29 Mn | 72,416.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.80 |
| Mar 31, 2026 | 47.13 |
| Dec 31, 2025 | 35.03 |
| Sep 30, 2025 | 34.93 |
| Jun 30, 2025 | 48.21 |
| Mar 31, 2025 | 26.49 |
| Dec 31, 2024 | 82.77 |
| Sep 30, 2024 | 22.31 |
| Jun 30, 2024 | 4.03 |
| Mar 31, 2024 | 36.58 |
| Dec 31, 2023 | 5.58 |
| Sep 30, 2023 | 18.51 |
API Access
MDWerks 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=MDWK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "MDWK", "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=MDWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();