SCI Engineered Materials (SCIA) Total Liabilities (2010 - 2026)
SCI Engineered Materials' Total Liabilities was $8.02 million in Q3 2026, up 26.6% from $6.33 million a year earlier and up 11.9% from the prior quarter.
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Analysis
SCI Engineered Materials (SCIA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at SCI Engineered Materials came in at $3.09 million, up 16.9% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $2.65 million in FY2024 (-59.3%), $6.51 million in FY2023 (+110.9%), $3.08 million in FY2022 (+7.5%) and $2.87 million in FY2021 (+14.8%).
- The Q3 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for six straight quarters, with growth averaging 32.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2026 (growth of 137.2%); the worst was Q4 2024 (a decline of 59.3%).
- Per Business Quant data, SCIA's Total Liabilities in the three quarters before Q3 2026 was $7.17 million (Q2 2026), $5.78 million (Q1 2026) and $3.09 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 47.09 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 19.84 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 22.98 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 23.49 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | 26.94 Bn |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 13.95 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 6.83 Bn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 3.43 Bn |
| 10 | SCI Engineered Materials | 41.43 Mn | 1.82 Mn | 1.69 Mn | 8.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.02 Mn |
| Jun 30, 2026 | 7.17 Mn |
| Mar 31, 2026 | 5.78 Mn |
| Dec 31, 2025 | 3.09 Mn |
| Sep 30, 2025 | 6.33 Mn |
| Jun 30, 2025 | 3.02 Mn |
| Mar 31, 2025 | 2.71 Mn |
| Dec 31, 2024 | 2.65 Mn |
| Sep 30, 2024 | 4.21 Mn |
| Jun 30, 2024 | 2.84 Mn |
| Mar 31, 2024 | 3.84 Mn |
| Dec 31, 2023 | 6.51 Mn |
| Sep 30, 2023 | 5.64 Mn |
| Jun 30, 2023 | 2.68 Mn |
| Mar 31, 2023 | 3.59 Mn |
| Dec 31, 2022 | 3.08 Mn |
| Sep 30, 2022 | 2.60 Mn |
| Jun 30, 2022 | 5.06 Mn |
| Mar 31, 2022 | 2.81 Mn |
| Dec 31, 2021 | 2.87 Mn |
API Access
SCI Engineered Materials Total Liabilities 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=total-liabilities&ticker=SCIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();