SCI Engineered Materials (SCIA) EBITDA Margin (2010 - 2026)
SCI Engineered Materials (SCIA) posted EBITDA Margin of 16.11% for Q2 2026, up 3.24 percentage points from 12.87% a year earlier and up 8.58 percentage points from the prior quarter.
SCI Engineered Materials (SCIA) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at SCI Engineered Materials was 11.78%, down 0.26 percentage points year-over-year; for FY2025, it was 11.64%, up 0.63 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +2.72 percentage points (FY2020 to FY2025).
- In prior years, SCI Engineered Materials' EBITDA Margin was 11.02% in FY2024 (+0.42 pp), 10.59% in FY2023 (-1.81 pp), 12.40% in FY2022 (-4.04 pp) and 16.44% in FY2021 (+7.52 pp).
- The Q2 2026 figure stands as the highest quarterly EBITDA Margin since Q3 2021.
- On a year-over-year basis, EBITDA Margin increased in five of the last eight quarters, with an average year-over-year change of +0.56 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q3 2021, with a gain of 6.80 percentage points; the weakest was Q1 2022, with a drop of 7.49 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 7.53% (Q1 2026), 10.48% (Q4 2025) and 12.39% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.17 Bn | 213.75 Bn | 4.43 Bn | 37.86% |
| 2 | Corning | 116.39 Bn | 108.95 Bn | 1.63 Bn | 24.17% |
| 3 | Sherwin Williams | 82.26 Bn | 81.30 Bn | 3.34 Bn | 20.93% |
| 4 | Air Products & Chemicals | 67.62 Bn | 62.80 Bn | 1.04 Bn | -54.15% |
| 5 | LyondellBasell Industries | 40.73 Bn | 30.24 Bn | 2.04 Bn | 20.63% |
| 6 | Nutrien | 32.93 Bn | 29.76 Bn | 3.25 Bn | 22.02% |
| 7 | Qnity Electronics | 25.32 Bn | 22.45 Bn | 666.00 Mn | 32.54% |
| 8 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 20.93% |
| 9 | Ppg Industries | 24.49 Bn | 17.15 Bn | 1.81 Bn | 17.71% |
| 10 | SCI Engineered Materials | 45.17 Mn | 7.92 Mn | 2.28 Mn | 16.11% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.11% |
| Mar 31, 2026 | 7.53% |
| Dec 31, 2025 | 10.48% |
| Sep 30, 2025 | 12.39% |
| Jun 30, 2025 | 12.87% |
| Mar 31, 2025 | 11.66% |
| Dec 31, 2024 | 11.67% |
| Sep 30, 2024 | 12.11% |
| Jun 30, 2024 | 12.91% |
| Mar 31, 2024 | 8.87% |
| Dec 31, 2023 | 9.49% |
| Sep 30, 2023 | 10.75% |
| Jun 30, 2023 | 9.47% |
| Mar 31, 2023 | 13.16% |
| Dec 31, 2022 | 13.90% |
| Sep 30, 2022 | 12.63% |
| Jun 30, 2022 | 13.53% |
| Mar 31, 2022 | 10.81% |
| Dec 31, 2021 | 13.05% |
| Sep 30, 2021 | 19.08% |
SCI Engineered Materials EBITDA Margin 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-margin&ticker=SCIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();