Aquabounty Technologies (AQB) Price to Book (2017 - 2026)
Aquabounty Technologies' (AQB) Price to Book stood at 4.88 in Q3 2026, up 587.4% from 0.71 a year earlier and up 149.0% from the prior quarter.
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Analysis
Aquabounty Technologies (AQB) Price to Book (2017 - 2026) Analysis & Trends
For FY2024, Aquabounty Technologies' Price to Book came in at 0.15, up 131.4% from FY2023.
- Across earlier years, Price to Book came in at 0.07 in FY2023 (-76.5%), 0.28 in FY2022 (-59.4%), 0.70 in FY2021 (-74.8%) and 2.77 in FY2020 (+40.3%).
- The Q3 2026 figure is the highest quarterly Price to Book in data going back to Q1 2017.
- Peak year-over-year performance for Price to Book in the last five years was growth of 829.4% in Q2 2026, against a decline of 78.7% in Q3 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - |
| 10 | Aquabounty Technologies | 4.69 Mn | -36.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.88 |
| Jun 30, 2026 | 1.96 |
| Sep 30, 2025 | 0.71 |
| Jun 30, 2025 | 0.21 |
| Mar 31, 2025 | 0.16 |
| Dec 31, 2024 | 0.15 |
| Sep 30, 2024 | 0.05 |
| Jun 30, 2024 | 0.06 |
| Mar 31, 2024 | 0.05 |
| Dec 31, 2023 | 0.07 |
| Sep 30, 2023 | 0.11 |
| Jun 30, 2023 | 0.14 |
| Mar 31, 2023 | 0.23 |
| Dec 31, 2022 | 0.28 |
| Sep 30, 2022 | 0.28 |
| Jun 30, 2022 | 0.60 |
| Mar 31, 2022 | 0.64 |
| Dec 31, 2021 | 0.70 |
| Sep 30, 2021 | 1.32 |
| Jun 30, 2021 | 1.68 |
API Access
Aquabounty Technologies 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=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "AQB", "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=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();