Biolargo (BLGO) Total Non-Current Liabilities (2010 - 2026)
Biolargo (BLGO) recorded Total Non-Current Liabilities of $4.63 million in Q2 2026, up 96.4% from $2.36 million a year earlier and up 21.3% from the prior quarter.
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Analysis
Biolargo (BLGO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Biolargo reported Total Non-Current Liabilities of $1.72 million, down 4.8% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $1.81 million in FY2024 (+39.9%), $1.29 million in FY2023 (+1.7%), $1.27 million in FY2022 (+77.5%) and $716,000 in FY2021 (-56.2%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities rose in seven of the last eight quarters, with growth averaging 64.7%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 119.2% in Q3 2025, against a decline of 59.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.82 million (Q1 2026), $1.72 million (Q4 2025) and $2.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 81.08 Bn | 72.83 Bn | 1.95 Bn | 19.38 Bn |
| 2 | Xylem | 25.14 Bn | 20.38 Bn | 963.00 Mn | 6.11 Bn |
| 3 | Veralto | 24.86 Bn | 17.50 Bn | 902.00 Mn | 4.74 Bn |
| 4 | Badger Meter | 3.76 Bn | 3.03 Bn | 90.77 Mn | 143.42 Mn |
| 5 | Ceco Environmental | 2.62 Bn | 2.45 Bn | 86.47 Mn | 1.63 Bn |
| 6 | NWPX Infrastructure | 946.93 Mn | 908.41 Mn | 34.36 Mn | 222.57 Mn |
| 7 | Energy Recovery | 345.32 Mn | 20.48 Mn | 8.96 Mn | 24.14 Mn |
| 8 | Cadiz | 339.11 Mn | 307.56 Mn | -24,000.00 | 95.90 Mn |
| 9 | AirJoule Technologies | 213.04 Mn | 92.67 Mn | - | 4.27 Mn |
| 10 | Biolargo | 22.15 Mn | 7.41 Mn | 675,000.00 | 4.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.63 Mn |
| Mar 31, 2026 | 3.82 Mn |
| Dec 31, 2025 | 1.72 Mn |
| Sep 30, 2025 | 2.46 Mn |
| Jun 30, 2025 | 2.36 Mn |
| Mar 31, 2025 | 2.05 Mn |
| Dec 31, 2024 | 1.81 Mn |
| Sep 30, 2024 | 1.12 Mn |
| Jun 30, 2024 | 1.15 Mn |
| Mar 31, 2024 | 1.27 Mn |
| Dec 31, 2023 | 1.29 Mn |
| Sep 30, 2023 | 988,000.00 |
| Jun 30, 2023 | 1.26 Mn |
| Mar 31, 2023 | 1.30 Mn |
| Dec 31, 2022 | 1.27 Mn |
| Sep 30, 2022 | 1.31 Mn |
| Jun 30, 2022 | 810,000.00 |
| Mar 31, 2022 | 645,000.00 |
| Dec 31, 2021 | 716,000.00 |
| Sep 30, 2021 | 1.77 Mn |
API Access
Biolargo Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();