Biolargo (BLGO) Selling, General & Administrative (2010 - 2026)
Biolargo (BLGO) reported Selling, General & Administrative of $3.32 million for Q2 2026, up 23.3% from $2.69 million a year earlier and up 20.3% from the prior quarter.
Biolargo (BLGO) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Biolargo's Selling, General & Administrative came in at $12.59 million, up 27.3% year-over-year; for FY2025, it came in at $11.77 million, up 26.5% from FY2024.
- Selling, General & Administrative has increased for four consecutive years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $9.3 million in FY2024 (+15.4%), $8.06 million in FY2023 (+19.7%), $6.73 million in FY2022 (+9.1%) and $6.17 million in FY2021 (-17.4%).
- Five-year quarterly Selling, General & Administrative spans a low of $1.41 million in Q4 2021 and a high of $3.43 million in Q4 2025.
- Year over year, Selling, General & Administrative has now increased in each of the last seven quarters, with growth averaging 18.0% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2023 (growth of 60.0%); the low point was Q4 2021 (a decline of 33.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.76 million (Q1 2026), $3.43 million (Q4 2025) and $3.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 80.74 Bn | 72.48 Bn | 1.95 Bn | 1.14 Bn |
| 2 | Veralto | 24.85 Bn | 17.49 Bn | 902.00 Mn | 514.00 Mn |
| 3 | Xylem | 24.79 Bn | 20.03 Bn | 963.00 Mn | 503.00 Mn |
| 4 | Badger Meter | 3.74 Bn | 3.01 Bn | 90.77 Mn | 51.40 Mn |
| 5 | Ceco Environmental | 2.47 Bn | 2.30 Bn | 86.47 Mn | 63.89 Mn |
| 6 | NWPX Infrastructure | 941.73 Mn | 903.20 Mn | 34.36 Mn | 13.21 Mn |
| 7 | Energy Recovery | 342.74 Mn | 17.91 Mn | 8.96 Mn | 6.80 Mn |
| 8 | Cadiz | 334.91 Mn | 303.35 Mn | -24,000.00 | 8.42 Mn |
| 9 | AirJoule Technologies | 213.04 Mn | 92.67 Mn | - | 3.82 Mn |
| 10 | Biolargo | 21.83 Mn | 7.09 Mn | 675,000.00 | 3.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.32 Mn |
| Mar 31, 2026 | 2.76 Mn |
| Dec 31, 2025 | 3.43 Mn |
| Sep 30, 2025 | 3.09 Mn |
| Jun 30, 2025 | 2.69 Mn |
| Mar 31, 2025 | 2.52 Mn |
| Dec 31, 2024 | 2.58 Mn |
| Sep 30, 2024 | 2.09 Mn |
| Jun 30, 2024 | 2.40 Mn |
| Mar 31, 2024 | 2.23 Mn |
| Dec 31, 2023 | 2.26 Mn |
| Sep 30, 2023 | 2.28 Mn |
| Jun 30, 2023 | 1.79 Mn |
| Mar 31, 2023 | 1.72 Mn |
| Dec 31, 2022 | 1.88 Mn |
| Sep 30, 2022 | 1.42 Mn |
| Jun 30, 2022 | 1.59 Mn |
| Mar 31, 2022 | 1.84 Mn |
| Dec 31, 2021 | 1.41 Mn |
| Sep 30, 2021 | 1.46 Mn |
Biolargo Selling, General & Administrative 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=selling-general-and-administrative&ticker=BLGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();