Aquabounty Technologies (AQB) Non Operating Interest Expenses (2016 - 2026)
Aquabounty Technologies (AQB) recorded Non Operating Interest Expenses of $529,491 in Q2 2026, up 484.5% from $90,585 a year earlier and up 76.5% from the prior quarter.
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Analysis
Aquabounty Technologies (AQB) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Aquabounty Technologies' Non Operating Interest Expenses came in at $811,293 as of Jun 30, 2026, down 0.5% year-over-year; for FY2025, it was $206,052, down 88.1% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $1.74 million in FY2024 (+638.6%), $234,954 in FY2023 (-19.3%), $291,177 in FY2022 (-8.0%) and $316,442 in FY2021 (+107.7%).
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses since Q3 2024.
- On a year-over-year basis, Non Operating Interest Expenses rose in two of the last four quarters, with growth averaging 123.0%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 484.5% in Q2 2026, against a decline of 90.6% in Q2 2025 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.33 Bn | 34.62 Bn | 1.94 Bn | 148.00 Mn |
| 2 | Bunge Global | 20.48 Bn | 17.99 Bn | 1.68 Bn | 197.00 Mn |
| 3 | Tyson Foods | 17.76 Bn | 14.11 Bn | 921.00 Mn | 98.00 Mn |
| 4 | Jbs | 12.04 Bn | -21.06 Bn | 2.59 Bn | 831.22 Mn |
| 5 | Darling Ingredients | 9.73 Bn | 9.33 Bn | 503.37 Mn | 55.53 Mn |
| 6 | Smithfield Foods | 7.32 Bn | 2.27 Bn | 478.00 Mn | 8.00 Mn |
| 7 | Pilgrims Pride | 6.00 Bn | 3.83 Bn | 339.75 Mn | 49.86 Mn |
| 8 | Ingredion | 5.99 Bn | 2.16 Bn | 426.00 Mn | 55.00 Mn |
| 9 | Seaboard | 3.79 Bn | -1.03 Bn | 221.00 Mn | 20.00 Mn |
| 10 | Aquabounty Technologies | 4.79 Mn | 993,170.76 | - | 529,491.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 529,491.00 |
| Mar 31, 2026 | 299,985.00 |
| Dec 31, 2025 | -18,183.00 |
| Jun 30, 2025 | 90,585.00 |
| Mar 31, 2025 | 133,650.00 |
| Dec 31, 2024 | -413,094.00 |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 963,036.00 |
| Mar 31, 2024 | 181,241.00 |
| Dec 31, 2023 | 39,145.00 |
| Sep 30, 2023 | 63,746.00 |
| Jun 30, 2023 | 65,789.00 |
| Mar 31, 2023 | 66,274.00 |
| Dec 31, 2022 | 68,882.00 |
| Sep 30, 2022 | 72,313.00 |
| Jun 30, 2022 | 74,694.00 |
| Mar 31, 2022 | 75,288.00 |
| Dec 31, 2021 | 77,939.00 |
| Sep 30, 2021 | 79,489.00 |
| Jun 30, 2021 | 80,210.00 |
API Access
Aquabounty Technologies Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=AQB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=AQB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();