Exozymes (EXOZ) Depreciation and Depletion (2023 - 2025)
Exozymes' Depreciation and Depletion was $73,599 in Q4 2025, up 8.9% from $67,567 a year earlier and up 2.8% from the prior quarter.
Analysis
Exozymes (EXOZ) Depreciation and Depletion (2023 - 2025) Analysis & Trends
For FY2025, Depreciation and Depletion at Exozymes came in at $287,961, up 7.7% from FY2024.
- In earlier years, Depreciation and Depletion was $267,382 in FY2024 (+35.8%) and $196,937 in FY2023.
- The Q4 2025 figure marks the highest quarterly Depreciation and Depletion in data going back to Q3 2023.
- Compared with a year earlier, Depreciation and Depletion has increased for six straight quarters, with growth averaging 14.1% over the last six quarters.
- Per Business Quant data, EXOZ's Depreciation and Depletion in the three quarters before Q4 2025 was $71,603 (Q3 2025), $72,256 (Q2 2025) and $70,503 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | - |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 368.00 Mn |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 98.50 Mn |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 47.00 Mn |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | - |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 108.00 Mn |
| 10 | Exozymes | 56.25 Mn | 56.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 73,599.00 |
| Sep 30, 2025 | 71,603.00 |
| Jun 30, 2025 | 72,256.00 |
| Mar 31, 2025 | 70,503.00 |
| Dec 31, 2024 | 67,567.00 |
| Sep 30, 2024 | 68,878.00 |
| Jun 30, 2024 | 68,145.00 |
| Mar 31, 2024 | 62,792.00 |
| Dec 31, 2023 | 58,966.00 |
| Sep 30, 2023 | 49,722.00 |
API Access
Exozymes Depreciation and Depletion 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=depreciation-and-depletion&ticker=EXOZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=EXOZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();