Exozymes (EXOZ) Selling, General & Administrative (2023 - 2026)
Exozymes (EXOZ) reported Selling, General & Administrative of $1.52 million for Q2 2026, down 13.1% from $1.75 million a year earlier.
Exozymes (EXOZ) Selling, General & Administrative (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Exozymes' Selling, General & Administrative came in at $6.15 million, up 14.7% year-over-year; for FY2025, it was $6.01 million, up 47.9% from FY2024.
- By year, Selling, General & Administrative came in at $4.06 million in FY2024 (+203.5%) and $1.34 million in FY2023.
- Five-year quarterly Selling, General & Administrative spans a low of $363,910 in Q3 2023 and a high of $1.75 million in Q2 2025.
- Year over year, Selling, General & Administrative gained in six of the last seven quarters, with growth averaging 71.6%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 200.00 Mn |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 95.70 Mn |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 931.00 Mn |
| 10 | Exozymes | 56.25 Mn | 56.25 Mn | - | 1.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.52 Mn |
| Dec 31, 2025 | 1.58 Mn |
| Sep 30, 2025 | 1.31 Mn |
| Jun 30, 2025 | 1.75 Mn |
| Mar 31, 2025 | 1.38 Mn |
| Dec 31, 2024 | 1.35 Mn |
| Sep 30, 2024 | 888,239.00 |
| Jun 30, 2024 | 1.09 Mn |
| Mar 31, 2024 | 730,876.00 |
| Dec 31, 2023 | 523,962.00 |
| Sep 30, 2023 | 363,910.00 |
Exozymes 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=EXOZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "EXOZ", "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=EXOZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();