Nexa Resources (NEXA) Depreciation & Amortization (CF) (2016 - 2026)
Nexa Resources (NEXA) recorded Depreciation & Amortization (CF) of $86.33 million in Q2 2026, up 12.7% from $76.57 million a year earlier and up 11.6% from the prior quarter.
Nexa Resources (NEXA) Depreciation & Amortization (CF) (2016 - 2026) Analysis & Trends
On a TTM basis, Nexa Resources' Depreciation & Amortization (CF) came in at $310.31 million as of Jun 30, 2026, down 3.4% year-over-year; for FY2025, it came in at $289 million, down 12.5% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $330.2 million in FY2024 (+6.4%), $310.48 million in FY2023 (+6.3%), $292.14 million in FY2022 (+12.9%) and $258.71 million in FY2021 (+6.1%).
- The Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) since Q4 2024.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in five of the last eight quarters, with growth averaging 0.7%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 19.7% in Q2 2022, against a decline of 32.7% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $77.36 million (Q1 2026), $65.08 million (Q4 2025) and $81.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 152.17 Bn | 130.96 Bn | 2.90 Bn | 226.00 Mn |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - | - |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn | 604.00 Mn |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn | 523.00 Mn |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn | 423.26 Mn |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn | 555.00 Mn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn | 320.00 Mn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - | 780.00 Mn |
| 10 | Nexa Resources | 1.49 Bn | -336.62 Mn | 257.20 Mn | 86.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.33 Mn |
| Mar 31, 2026 | 77.36 Mn |
| Dec 31, 2025 | 65.08 Mn |
| Sep 30, 2025 | 81.54 Mn |
| Jun 30, 2025 | 76.57 Mn |
| Mar 31, 2025 | 65.81 Mn |
| Dec 31, 2024 | 96.64 Mn |
| Sep 30, 2024 | 82.28 Mn |
| Jun 30, 2024 | 74.29 Mn |
| Mar 31, 2024 | 76.99 Mn |
| Dec 31, 2023 | 86.97 Mn |
| Sep 30, 2023 | 75.61 Mn |
| Jun 30, 2023 | 71.75 Mn |
| Mar 31, 2023 | 71.68 Mn |
| Dec 31, 2022 | 79.12 Mn |
| Sep 30, 2022 | 72.75 Mn |
| Jun 30, 2022 | 74.37 Mn |
| Mar 31, 2022 | 65.89 Mn |
| Dec 31, 2021 | 68.89 Mn |
| Sep 30, 2021 | 68.47 Mn |
Nexa Resources Depreciation & Amortization (CF) 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-amortization-cf&ticker=NEXA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "NEXA", "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-amortization-cf&ticker=NEXA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();