SCI Engineered Materials (SCIA) Selling, General & Administrative (2010 - 2026)
SCI Engineered Materials (SCIA) reported Selling, General & Administrative of $512,090 for Q2 2026, down 6.8% from $549,540 a year earlier and down 20.2% from the prior quarter.
SCI Engineered Materials (SCIA) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, SCI Engineered Materials' Selling, General & Administrative came in at $2.22 million, up 6.5% year-over-year; for FY2025, it was $2.17 million, up 11.7% from FY2024.
- Selling, General & Administrative has increased for five consecutive years, with a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $1.94 million in FY2024 (+9.5%), $1.77 million in FY2023 (+14.3%), $1.55 million in FY2022 (+21.0%) and $1.28 million in FY2021 (+11.5%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q3 2024.
- Year over year, Selling, General & Administrative gained in seven of the last eight quarters, with growth averaging 9.1%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2022 (growth of 49.2%); the low point was Q2 2026 (a decline of 6.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $642,043 (Q1 2026), $545,837 (Q4 2025) and $523,408 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.09 Bn | 216.67 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 107.83 Bn | 100.39 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 82.84 Bn | 81.88 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 68.42 Bn | 63.61 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 42.98 Bn | 32.49 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.92 Bn | 30.75 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Ppg Industries | 24.75 Bn | 17.41 Bn | 1.81 Bn | 931.00 Mn |
| 8 | International Flavors & Fragrances | 24.02 Bn | 21.68 Bn | 853.00 Mn | 437.00 Mn |
| 9 | Dow | 23.69 Bn | 7.19 Bn | 2.17 Bn | 535.00 Mn |
| 10 | SCI Engineered Materials | 46.73 Mn | 9.48 Mn | 2.28 Mn | 512,090.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 512,090.00 |
| Mar 31, 2026 | 642,043.00 |
| Dec 31, 2025 | 545,837.00 |
| Sep 30, 2025 | 523,408.00 |
| Jun 30, 2025 | 549,540.00 |
| Mar 31, 2025 | 547,821.00 |
| Dec 31, 2024 | 513,489.00 |
| Sep 30, 2024 | 476,572.00 |
| Jun 30, 2024 | 467,573.00 |
| Mar 31, 2024 | 482,261.00 |
| Dec 31, 2023 | 486,111.00 |
| Sep 30, 2023 | 433,656.00 |
| Jun 30, 2023 | 419,083.00 |
| Mar 31, 2023 | 432,413.00 |
| Dec 31, 2022 | 378,914.00 |
| Sep 30, 2022 | 374,193.00 |
| Jun 30, 2022 | 423,401.00 |
| Mar 31, 2022 | 373,188.00 |
| Dec 31, 2021 | 401,993.00 |
| Sep 30, 2021 | 306,997.00 |
SCI Engineered Materials 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=SCIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SCIA", "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=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();