Exozymes (EXOZ) Wages, Salaries and Other (2023 - 2026)
Exozymes (EXOZ) reported Wages, Salaries and Other of $1.13 million for Q2 2026, up 5.5% from $1.07 million a year earlier.
Exozymes (EXOZ) Wages, Salaries and Other (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Exozymes' Wages, Salaries and Other came in at $4.15 million, up 34.3% year-over-year; for FY2025, it was $3.64 million, up 43.8% from FY2024.
- By year, Wages, Salaries and Other came in at $2.53 million in FY2024 (+324.0%) and $596,174 in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Wages, Salaries and Other in data going back to Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | - |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | - |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | - |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | - |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | - |
| 10 | Exozymes | 53.55 Mn | 53.55 Mn | - | 1.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Mn |
| Dec 31, 2025 | 1.11 Mn |
| Sep 30, 2025 | 845,174.00 |
| Jun 30, 2025 | 1.07 Mn |
| Mar 31, 2025 | 613,924.00 |
| Dec 31, 2024 | 860,024.00 |
| Sep 30, 2024 | 546,095.00 |
| Jun 30, 2024 | 731,607.00 |
| Mar 31, 2024 | 390,044.00 |
| Dec 31, 2023 | 307,020.00 |
| Sep 30, 2023 | 119,146.00 |
Exozymes Wages, Salaries and Other 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=wages-salaries-and-other&ticker=EXOZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=EXOZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();