Materion (MTRN) Selling, General & Administrative (2010 - 2026)
Materion's Selling, General & Administrative came in at $42.32 million for Q2 2026, up 20.8% from $35.04 million a year earlier and up 16.9% from the prior quarter.
Materion (MTRN) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 3, 2026, Materion reported Selling, General & Administrative of $151.09 million, up 3.0% year-over-year; for FY2025, it was $143.06 million, down 1.7% from FY2024.
- Selling, General & Administrative has declined in each of the last three years, though with a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $145.59 million in FY2024 (-7.8%), $157.91 million in FY2023 (-6.7%), $169.34 million in FY2022 (+3.4%) and $163.78 million in FY2021 (+22.3%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative since Q4 2022.
- Year-over-year, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 1.5%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2021 (growth of 31.9%), and the weakest in Q4 2025 (a decline of 16.6%).
- Business Quant data shows MTRN's Selling, General & Administrative at $36.2 million (Q1 2026), $34.32 million (Q4 2025) and $38.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | 82.00 Mn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | - |
| 10 | Materion | 4.56 Bn | 4.49 Bn | 104.34 Mn | 42.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 42.32 Mn |
| Apr 3, 2026 | 36.20 Mn |
| Dec 31, 2025 | 34.32 Mn |
| Sep 26, 2025 | 38.26 Mn |
| Jun 27, 2025 | 35.04 Mn |
| Mar 28, 2025 | 35.45 Mn |
| Dec 31, 2024 | 41.13 Mn |
| Sep 27, 2024 | 35.01 Mn |
| Jun 28, 2024 | 33.60 Mn |
| Mar 29, 2024 | 35.84 Mn |
| Dec 31, 2023 | 39.86 Mn |
| Sep 29, 2023 | 38.81 Mn |
| Jun 30, 2023 | 38.91 Mn |
| Mar 31, 2023 | 40.34 Mn |
| Dec 31, 2022 | 46.67 Mn |
| Sep 30, 2022 | 38.96 Mn |
| Jul 1, 2022 | 42.05 Mn |
| Apr 1, 2022 | 41.66 Mn |
| Dec 31, 2021 | 45.75 Mn |
| Oct 1, 2021 | 43.20 Mn |
Materion 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=MTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MTRN", "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=MTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();