SCI Engineered Materials (SCIA) EBITDA (2010 - 2026)
SCI Engineered Materials' EBITDA came in at $1.14 million for Q3 2026, up 74.2% from $655,151 a year earlier but down 25.3% from the prior quarter.
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Analysis
SCI Engineered Materials (SCIA) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, SCI Engineered Materials reported EBITDA of $4.04 million, up 90.7% year-over-year; for FY2025, it was $2.28 million, down 9.4% from FY2024.
- EBITDA has declined in each of the last three years, though with a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $2.52 million in FY2024 (-15.0%), $2.96 million in FY2023 (-1.2%), $3 million in FY2022 (+30.7%) and $2.29 million in FY2021 (+118.7%).
- The five-year range for quarterly EBITDA is $408,141 (Q1 2025) to $1.53 million (Q2 2026).
- Year-over-year, EBITDA has increased for five consecutive quarters, with growth averaging 41.1% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q2 2026 (growth of 229.0%), and the weakest in Q1 2025 (a decline of 45.2%).
- Business Quant data shows SCIA's EBITDA at $1.53 million (Q2 2026), $614,113 (Q1 2026) and $755,093 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 3.12 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 1.30 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 1.40 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | -1.71 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 1.44 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 782.00 Mn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 536.00 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 316.80 Mn |
| 10 | SCI Engineered Materials | 41.43 Mn | 1.82 Mn | 1.69 Mn | 1.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.14 Mn |
| Jun 30, 2026 | 1.53 Mn |
| Mar 31, 2026 | 614,113.00 |
| Dec 31, 2025 | 755,093.00 |
| Sep 30, 2025 | 655,151.00 |
| Jun 30, 2025 | 464,411.00 |
| Mar 31, 2025 | 408,141.00 |
| Dec 31, 2024 | 589,702.00 |
| Sep 30, 2024 | 470,328.00 |
| Jun 30, 2024 | 714,149.00 |
| Mar 31, 2024 | 745,045.00 |
| Dec 31, 2023 | 667,183.00 |
| Sep 30, 2023 | 827,805.00 |
| Jun 30, 2023 | 706,206.00 |
| Mar 31, 2023 | 762,844.00 |
| Dec 31, 2022 | 808,667.00 |
| Sep 30, 2022 | 734,854.00 |
| Jun 30, 2022 | 879,957.00 |
| Mar 31, 2022 | 575,771.00 |
| Dec 31, 2021 | 423,020.00 |
API Access
SCI Engineered Materials EBITDA 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=ebitda&ticker=SCIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();