SCI Engineered Materials (SCIA) Enterprise Value (2010 - 2026)
SCI Engineered Materials' Enterprise Value was $20.94 million in Q2 2026, up 75.9% from $11.9 million a year earlier and up 53.2% from the prior quarter.
SCI Engineered Materials (SCIA) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, SCI Engineered Materials' Enterprise Value was -$5.62 million through Jun 30, 2026; for FY2025, it came in at $16.19 million, up 17.8% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 33.4% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $13.75 million in FY2024 (-15.1%), $16.2 million in FY2023 (+48.9%), $10.88 million in FY2022 (-4.2%) and $11.36 million in FY2021 (+196.8%).
- The Q2 2026 figure marks the highest quarterly Enterprise Value in data going back to Q2 2010.
- Compared with a year earlier, Enterprise Value has increased for three straight quarters, with growth averaging 0.5% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q3 2021 (growth of 435.8%); the worst was Q3 2025 (a decline of 35.5%).
- Per Business Quant data, SCIA's Enterprise Value in the three quarters before Q2 2026 was $13.67 million (Q1 2026), $16.19 million (Q4 2025) and $9.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 230.66 Bn | 212.23 Bn | 4.43 Bn |
| 2 | Corning | 116.85 Bn | 109.42 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 81.86 Bn | 80.90 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 67.24 Bn | 62.43 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 40.76 Bn | 30.26 Bn | 2.04 Bn |
| 6 | Nutrien | 33.10 Bn | 29.92 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 25.24 Bn | 22.38 Bn | 666.00 Mn |
| 8 | Ati | 24.63 Bn | 22.66 Bn | 309.80 Mn |
| 9 | Ppg Industries | 24.38 Bn | 17.03 Bn | 1.81 Bn |
| 10 | SCI Engineered Materials | 45.39 Mn | 8.15 Mn | 2.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.94 Mn |
| Mar 31, 2026 | 13.67 Mn |
| Dec 31, 2025 | 16.19 Mn |
| Sep 30, 2025 | 9.62 Mn |
| Jun 30, 2025 | 11.90 Mn |
| Mar 31, 2025 | 12.10 Mn |
| Dec 31, 2024 | 13.75 Mn |
| Sep 30, 2024 | 14.90 Mn |
| Jun 30, 2024 | 17.83 Mn |
| Mar 31, 2024 | 17.86 Mn |
| Dec 31, 2023 | 16.20 Mn |
| Sep 30, 2023 | 13.13 Mn |
| Jun 30, 2023 | 13.15 Mn |
| Mar 31, 2023 | 10.82 Mn |
| Dec 31, 2022 | 10.88 Mn |
| Sep 30, 2022 | 9.52 Mn |
| Jun 30, 2022 | 7.01 Mn |
| Mar 31, 2022 | 12.14 Mn |
| Dec 31, 2021 | 11.36 Mn |
| Sep 30, 2021 | 14.46 Mn |
SCI Engineered Materials Enterprise Value 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=enterprise-value&ticker=SCIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();