Dyadic International (DYAI) Price to Book (2017 - 2025)
Dyadic International's Price to Book came in at 27.60 for Q4 2025, up 30.6% from 21.14 a year earlier and up 68.5% from the prior quarter.
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Analysis
Dyadic International (DYAI) Price to Book (2017 - 2025) Analysis & Trends
Going back to Q4 2017, Dyadic International's Price to Book data covers 32 quarters.
- Price to Book has increased in each of the last three years.
- Going back by year, Price to Book was 21.14 in FY2024 (+167.9%), 7.89 in FY2023 (+149.0%), 3.17 in FY2022 (-54.3%) and 6.94 in FY2021 (+33.4%).
- The five-year range for quarterly Price to Book is 3.17 (Q4 2022) to 43.98 (Q1 2025).
- The fastest year-over-year change in Price to Book over five years came in Q1 2025 (growth of 307.5%), and the weakest in Q4 2022 (a decline of 54.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Dyadic International | 16.76 Mn | 10.16 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 27.60 |
| Sep 30, 2025 | 16.38 |
| Mar 31, 2025 | 43.98 |
| Dec 31, 2024 | 21.14 |
| Sep 30, 2024 | 9.02 |
| Jun 30, 2024 | 13.77 |
| Mar 31, 2024 | 10.79 |
| Dec 31, 2023 | 7.89 |
| Sep 30, 2023 | 7.23 |
| Jun 30, 2023 | 6.19 |
| Mar 31, 2023 | 4.75 |
| Dec 31, 2022 | 3.17 |
| Sep 30, 2022 | 4.31 |
| Jun 30, 2022 | 6.36 |
| Mar 31, 2022 | 5.19 |
| Dec 31, 2021 | 6.94 |
| Sep 30, 2021 | 7.13 |
| Jun 30, 2021 | 4.35 |
| Mar 31, 2021 | 5.89 |
| Dec 31, 2020 | 5.20 |
API Access
Dyadic International 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=DYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "DYAI", "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=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();