SCI Engineered Materials (SCIA) Inventory (2010 - 2026)
SCI Engineered Materials' Inventory was $3.62 million in Q2 2026, up 236.3% from $1.08 million a year earlier and up 10.6% from the prior quarter.
SCI Engineered Materials (SCIA) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Inventory at SCI Engineered Materials came in at $1.09 million, down 23.8% from FY2024.
- Inventory shows a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In earlier years, Inventory was $1.43 million in FY2024 (-69.2%), $4.65 million in FY2023 (+113.7%), $2.18 million in FY2022 (+102.9%) and $1.07 million in FY2021 (-9.1%).
- The Q2 2026 figure marks the highest quarterly Inventory since Q1 2024.
- Compared with a year earlier, Inventory was higher in three of the last eight quarters, with growth averaging 27.5%.
- The best year-over-year quarter for Inventory over five years was Q2 2026 (growth of 236.3%); the worst was Q4 2024 (a decline of 69.2%).
- Per Business Quant data, SCIA's Inventory in the three quarters before Q2 2026 was $3.28 million (Q1 2026), $1.09 million (Q4 2025) and $3.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 230.94 Bn | 212.51 Bn | 4.43 Bn | 2.12 Bn |
| 2 | Corning | 116.37 Bn | 108.94 Bn | 1.63 Bn | 3.43 Bn |
| 3 | Sherwin Williams | 82.13 Bn | 81.17 Bn | 3.34 Bn | 2.53 Bn |
| 4 | Air Products & Chemicals | 67.18 Bn | 62.37 Bn | 1.04 Bn | 751.60 Mn |
| 5 | LyondellBasell Industries | 40.49 Bn | 30.00 Bn | 2.04 Bn | 4.08 Bn |
| 6 | Nutrien | 32.85 Bn | 29.68 Bn | 3.25 Bn | 6.16 Bn |
| 7 | Qnity Electronics | 25.25 Bn | 22.39 Bn | 666.00 Mn | 730.00 Mn |
| 8 | Ati | 24.82 Bn | 22.84 Bn | 309.80 Mn | 1.67 Bn |
| 9 | Ppg Industries | 24.37 Bn | 17.03 Bn | 1.81 Bn | 2.23 Bn |
| 10 | SCI Engineered Materials | 44.72 Mn | 7.48 Mn | 2.28 Mn | 3.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.62 Mn |
| Mar 31, 2026 | 3.28 Mn |
| Dec 31, 2025 | 1.09 Mn |
| Sep 30, 2025 | 3.03 Mn |
| Jun 30, 2025 | 1.08 Mn |
| Mar 31, 2025 | 1.19 Mn |
| Dec 31, 2024 | 1.43 Mn |
| Sep 30, 2024 | 1.79 Mn |
| Jun 30, 2024 | 2.46 Mn |
| Mar 31, 2024 | 3.69 Mn |
| Dec 31, 2023 | 4.65 Mn |
| Sep 30, 2023 | 3.19 Mn |
| Jun 30, 2023 | 1.70 Mn |
| Mar 31, 2023 | 2.62 Mn |
| Dec 31, 2022 | 2.18 Mn |
| Sep 30, 2022 | 1.45 Mn |
| Jun 30, 2022 | 3.62 Mn |
| Mar 31, 2022 | 1.26 Mn |
| Dec 31, 2021 | 1.07 Mn |
| Sep 30, 2021 | 1.98 Mn |
SCI Engineered Materials Inventory 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=inventory&ticker=SCIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();