SCI Engineered Materials (SCIA) Cash & Equivalents (2010 - 2026)
SCI Engineered Materials (SCIA) reported Cash & Equivalents of $9.89 million for Q2 2026, up 24.1% from $7.97 million a year earlier and up 15.8% from the prior quarter.
SCI Engineered Materials (SCIA) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, SCI Engineered Materials posted Cash & Equivalents of $7.94 million, up 17.6% from FY2024.
- Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $6.75 million in FY2024 (+19.0%), $5.67 million in FY2023 (+43.7%), $3.95 million in FY2022 (-4.7%) and $4.14 million in FY2021 (+41.9%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to Q3 2010.
- Year over year, Cash & Equivalents has now increased in each of the last 12 quarters, with growth averaging 24.5% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2021 (growth of 57.9%); the low point was Q2 2023 (a decline of 5.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.54 million (Q1 2026), $7.94 million (Q4 2025) and $9.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 233.86 Bn | 215.44 Bn | 4.43 Bn | 4.90 Bn |
| 2 | Corning | 108.37 Bn | 100.94 Bn | 1.63 Bn | 2.50 Bn |
| 3 | Sherwin Williams | 82.14 Bn | 81.18 Bn | 3.34 Bn | 293.50 Mn |
| 4 | Air Products & Chemicals | 68.00 Bn | 63.19 Bn | 1.04 Bn | 980.50 Mn |
| 5 | LyondellBasell Industries | 42.05 Bn | 31.56 Bn | 2.04 Bn | 2.63 Bn |
| 6 | Nutrien | 33.60 Bn | 30.43 Bn | 3.25 Bn | 921.00 Mn |
| 7 | Ppg Industries | 24.44 Bn | 17.09 Bn | 1.81 Bn | 1.52 Bn |
| 8 | International Flavors & Fragrances | 23.69 Bn | 21.35 Bn | 853.00 Mn | 569.00 Mn |
| 9 | Dow | 22.89 Bn | 6.38 Bn | 2.17 Bn | 3.97 Bn |
| 10 | SCI Engineered Materials | 46.73 Mn | 9.48 Mn | 2.28 Mn | 9.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.89 Mn |
| Mar 31, 2026 | 8.54 Mn |
| Dec 31, 2025 | 7.94 Mn |
| Sep 30, 2025 | 9.48 Mn |
| Jun 30, 2025 | 7.97 Mn |
| Mar 31, 2025 | 7.35 Mn |
| Dec 31, 2024 | 6.75 Mn |
| Sep 30, 2024 | 7.66 Mn |
| Jun 30, 2024 | 6.19 Mn |
| Mar 31, 2024 | 5.47 Mn |
| Dec 31, 2023 | 5.67 Mn |
| Sep 30, 2023 | 5.80 Mn |
| Jun 30, 2023 | 5.11 Mn |
| Mar 31, 2023 | 4.50 Mn |
| Dec 31, 2022 | 3.95 Mn |
| Sep 30, 2022 | 5.61 Mn |
| Jun 30, 2022 | 5.41 Mn |
| Mar 31, 2022 | 4.65 Mn |
| Dec 31, 2021 | 4.14 Mn |
| Sep 30, 2021 | 3.95 Mn |
SCI Engineered Materials Cash & Equivalents 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=cash-and-equivalents&ticker=SCIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();