SCI Engineered Materials (SCIA) Operating Expenses (2010 - 2026)
SCI Engineered Materials (SCIA) reported Operating Expenses of $659,523 for Q2 2026, up 0.4% from $656,914 a year earlier but down 15.9% from the prior quarter.
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Analysis
SCI Engineered Materials (SCIA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, SCI Engineered Materials' Operating Expenses came in at $2.74 million, up 9.5% year-over-year; for FY2025, it came in at $2.6 million, up 3.9% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $2.5 million in FY2024 (+10.2%), $2.27 million in FY2023 (+18.1%), $1.93 million in FY2022 (+27.0%) and $1.52 million in FY2021 (+2.0%).
- Five-year quarterly Operating Expenses spans a low of $363,609 in Q3 2021 and a high of $784,653 in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 5.3% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 52.5%); the low point was Q4 2024 (a decline of 4.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $784,653 (Q1 2026), $659,382 (Q4 2025) and $634,658 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 230.98 Bn | 212.55 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 115.77 Bn | 108.33 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 81.92 Bn | 80.96 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 67.19 Bn | 62.38 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 40.58 Bn | 30.09 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.15 Bn | 29.98 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Qnity Electronics | 25.11 Bn | 22.25 Bn | 666.00 Mn | 298.00 Mn |
| 8 | Ati | 24.71 Bn | 22.74 Bn | 309.80 Mn | 99.60 Mn |
| 9 | Ppg Industries | 24.32 Bn | 16.98 Bn | 1.81 Bn | 1.15 Bn |
| 10 | SCI Engineered Materials | 44.72 Mn | 7.48 Mn | 2.28 Mn | 659,523.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 659,523.00 |
| Mar 31, 2026 | 784,653.00 |
| Dec 31, 2025 | 659,382.00 |
| Sep 30, 2025 | 634,658.00 |
| Jun 30, 2025 | 656,914.00 |
| Mar 31, 2025 | 650,088.00 |
| Dec 31, 2024 | 588,186.00 |
| Sep 30, 2024 | 606,586.00 |
| Jun 30, 2024 | 642,203.00 |
| Mar 31, 2024 | 667,496.00 |
| Dec 31, 2023 | 615,641.00 |
| Sep 30, 2023 | 555,210.00 |
| Jun 30, 2023 | 534,576.00 |
| Mar 31, 2023 | 567,773.00 |
| Dec 31, 2022 | 482,445.00 |
| Sep 30, 2022 | 467,274.00 |
| Jun 30, 2022 | 515,486.00 |
| Mar 31, 2022 | 460,219.00 |
| Dec 31, 2021 | 488,464.00 |
| Sep 30, 2021 | 363,609.00 |
API Access
SCI Engineered Materials Operating Expenses 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=operating-expenses&ticker=SCIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();