SCI Engineered Materials (SCIA) Non-Current Assets (2010 - 2026)
SCI Engineered Materials (SCIA) reported Non-Current Assets of $7.06 million for Q2 2026, up 4.7% from $6.74 million a year earlier but down 1.6% from the prior quarter.
SCI Engineered Materials (SCIA) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, SCI Engineered Materials posted Non-Current Assets of $7.03 million, up 20.7% from FY2024.
- Non-Current Assets has increased for four consecutive years, with a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $5.82 million in FY2024 (+49.0%), $3.91 million in FY2023 (+6.1%), $3.68 million in FY2022 (+15.7%) and $3.18 million in FY2021 (-5.3%).
- Five-year quarterly Non-Current Assets spans a low of $2.98 million in Q2 2022 and a high of $7.18 million in Q1 2026.
- Year over year, Non-Current Assets has now increased in each of the last 15 quarters, with growth averaging 32.7% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q2 2025 (growth of 53.3%); the low point was Q2 2022 (a decline of 15.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.18 million (Q1 2026), $7.03 million (Q4 2025) and $6.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 230.85 Bn | 212.43 Bn | 4.43 Bn | 74.17 Bn |
| 2 | Corning | 116.88 Bn | 109.45 Bn | 1.63 Bn | 22.04 Bn |
| 3 | Sherwin Williams | 82.16 Bn | 81.20 Bn | 3.34 Bn | 19.95 Bn |
| 4 | Air Products & Chemicals | 67.28 Bn | 62.46 Bn | 1.04 Bn | 35.48 Bn |
| 5 | LyondellBasell Industries | 40.84 Bn | 30.35 Bn | 2.04 Bn | 22.82 Bn |
| 6 | Nutrien | 33.11 Bn | 29.94 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 25.22 Bn | 22.36 Bn | 666.00 Mn | 11.44 Bn |
| 8 | Ati | 24.62 Bn | 22.65 Bn | 309.80 Mn | 2.46 Bn |
| 9 | Ppg Industries | 24.52 Bn | 17.18 Bn | 1.81 Bn | 14.27 Bn |
| 10 | SCI Engineered Materials | 45.79 Mn | 8.55 Mn | 2.28 Mn | 7.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.06 Mn |
| Mar 31, 2026 | 7.18 Mn |
| Dec 31, 2025 | 7.03 Mn |
| Sep 30, 2025 | 6.84 Mn |
| Jun 30, 2025 | 6.74 Mn |
| Mar 31, 2025 | 6.01 Mn |
| Dec 31, 2024 | 5.82 Mn |
| Sep 30, 2024 | 5.10 Mn |
| Jun 30, 2024 | 4.40 Mn |
| Mar 31, 2024 | 4.45 Mn |
| Dec 31, 2023 | 3.91 Mn |
| Sep 30, 2023 | 3.51 Mn |
| Jun 30, 2023 | 3.47 Mn |
| Mar 31, 2023 | 3.58 Mn |
| Dec 31, 2022 | 3.68 Mn |
| Sep 30, 2022 | 3.03 Mn |
| Jun 30, 2022 | 2.98 Mn |
| Mar 31, 2022 | 3.09 Mn |
| Dec 31, 2021 | 3.18 Mn |
| Sep 30, 2021 | 3.26 Mn |
SCI Engineered Materials Non-Current Assets 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=non-current-assets&ticker=SCIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();