Exozymes (EXOZ) Operating Expenses (2023 - 2026)
Exozymes (EXOZ) recorded Operating Expenses of $2.95 million in Q2 2026, up 15.9% from $2.55 million a year earlier.
Exozymes (EXOZ) Operating Expenses (2023 - 2026) Analysis & Trends
On a TTM basis, Exozymes' Operating Expenses came in at $10.72 million as of Jun 30, 2026, up 32.4% year-over-year; for FY2025, it came in at $9.72 million, up 63.8% from FY2024.
- Across earlier years, Operating Expenses came in at $5.93 million in FY2024 (+217.9%) and $1.87 million in FY2023.
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Exozymes | 54.48 Mn | 54.48 Mn | - | 2.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.95 Mn |
| Dec 31, 2025 | 2.70 Mn |
| Sep 30, 2025 | 2.52 Mn |
| Jun 30, 2025 | 2.55 Mn |
| Mar 31, 2025 | 1.95 Mn |
| Dec 31, 2024 | 1.98 Mn |
| Sep 30, 2024 | 1.61 Mn |
| Jun 30, 2024 | 1.33 Mn |
| Mar 31, 2024 | 1.01 Mn |
| Dec 31, 2023 | 984,347.00 |
| Sep 30, 2023 | 391,846.00 |
Exozymes Operating 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=operating-expenses&ticker=EXOZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EXOZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();