Biolargo (BLGO) Non Operating Interest Expenses (2010 - 2026)
Biolargo's Non Operating Interest Expenses was $285,000 in Q2 2026, up 147.8% from $115,000 a year earlier and up 51.6% from the prior quarter.
Biolargo (BLGO) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Biolargo's Non Operating Interest Expenses was $805,000 through Jun 30, 2026, up 212.0% year-over-year; for FY2025, it was $540,000, up 660.6% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -22.4% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $71,000 in FY2024 (-22.0%), $91,000 in FY2023 (+71.7%), $53,000 in FY2022 (-77.4%) and $234,000 in FY2021 (-87.8%).
- The Q2 2026 figure marks the highest quarterly Non Operating Interest Expenses since Q3 2020.
- Compared with a year earlier, Non Operating Interest Expenses has increased for three straight quarters, with growth averaging 239.4% over the last six quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2025 (growth of 675.0%); the worst was Q3 2021 (a decline of 86.8%).
- Per Business Quant data, BLGO's Non Operating Interest Expenses in the three quarters before Q2 2026 was $188,000 (Q1 2026), $188,000 (Q4 2025) and $144,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 81.92 Bn | 73.66 Bn | 1.95 Bn | -73.10 Mn |
| 2 | Xylem | 25.82 Bn | 21.07 Bn | 963.00 Mn | 7.00 Mn |
| 3 | Veralto | 25.65 Bn | 18.30 Bn | 902.00 Mn | 27.00 Mn |
| 4 | Badger Meter | 4.34 Bn | 3.61 Bn | 90.77 Mn | - |
| 5 | Ceco Environmental | 2.04 Bn | 1.87 Bn | 86.47 Mn | 9.10 Mn |
| 6 | NWPX Infrastructure | 926.93 Mn | 888.41 Mn | 34.36 Mn | 320,000.00 |
| 7 | Energy Recovery | 343.00 Mn | 18.16 Mn | 8.96 Mn | - |
| 8 | Cadiz | 342.06 Mn | 310.50 Mn | -24,000.00 | 2.90 Mn |
| 9 | AirJoule Technologies | 205.02 Mn | 84.65 Mn | - | - |
| 10 | Biolargo | 22.15 Mn | 7.41 Mn | 675,000.00 | 285,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 285,000.00 |
| Mar 31, 2026 | 188,000.00 |
| Dec 31, 2025 | 188,000.00 |
| Sep 30, 2025 | 144,000.00 |
| Jun 30, 2025 | 115,000.00 |
| Mar 31, 2025 | 93,000.00 |
| Dec 31, 2024 | 37,000.00 |
| Sep 30, 2024 | 13,000.00 |
| Jun 30, 2024 | 2,000.00 |
| Mar 31, 2024 | 12,000.00 |
| Dec 31, 2023 | 19,000.00 |
| Sep 30, 2023 | 12,000.00 |
| Jun 30, 2023 | 12,000.00 |
| Mar 31, 2023 | 48,000.00 |
| Dec 31, 2022 | 11,000.00 |
| Sep 30, 2022 | 14,000.00 |
| Jun 30, 2022 | 15,000.00 |
| Mar 31, 2022 | 13,000.00 |
| Dec 31, 2021 | 26,000.00 |
| Sep 30, 2021 | 42,000.00 |
Biolargo 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=BLGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "BLGO", "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=BLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();