Aquabounty Technologies (AQB) Exchange Rate Effect (2016 - 2025)
Aquabounty Technologies' Exchange Rate Effect came in at $8,769 for FY2025, compared with -$10,133 in FY2024.
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Analysis
Aquabounty Technologies (AQB) Exchange Rate Effect (2016 - 2025) Analysis & Trends
Going back to FY2015, Aquabounty Technologies' Exchange Rate Effect data covers 11 years.
- The FY2025 figure represents the highest annual Exchange Rate Effect since FY2021.
- Per Business Quant, earlier years put Exchange Rate Effect at -$10,133 in FY2024, $2,827 in FY2023 (+2.9%), $2,748 in FY2022 (-92.4%) and $36,152 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 8.00 Mn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 1.00 Mn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 9.40 Mn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 10,000.00 |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 7.00 Mn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 615,000.00 |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | -1.00 Mn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 1.00 Mn |
| 10 | Aquabounty Technologies | 4.89 Mn | 1.10 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -1.00 |
| Mar 31, 2025 | 8,770.00 |
| Dec 31, 2024 | -5,474.00 |
| Sep 30, 2024 | 278.00 |
| Jun 30, 2024 | -2,142.00 |
| Mar 31, 2024 | -2,795.00 |
| Dec 31, 2023 | 3,604.00 |
| Sep 30, 2023 | -6,595.00 |
| Jun 30, 2023 | 5,791.00 |
| Mar 31, 2023 | 27.00 |
| Dec 31, 2022 | 4,617.00 |
| Sep 30, 2022 | -482.00 |
| Jun 30, 2022 | -9,493.00 |
| Mar 31, 2022 | 8,106.00 |
| Dec 31, 2021 | 9,066.00 |
| Sep 30, 2021 | -5,443.00 |
| Jun 30, 2021 | 11,522.00 |
| Mar 31, 2021 | 21,007.00 |
| Dec 31, 2020 | -4,568.00 |
| Sep 30, 2020 | -2,107.00 |
API Access
Aquabounty Technologies Exchange Rate Effect 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=exchange-rate-effect&ticker=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();