SCI Engineered Materials (SCIA) Capital Expenditures (2010 - 2026)
SCI Engineered Materials (SCIA) recorded Capital Expenditures of $560,626 in Q2 2026, up 324.3% from $132,118 a year earlier and up 71.5% from the prior quarter.
SCI Engineered Materials (SCIA) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, SCI Engineered Materials' Capital Expenditures came in at $1.68 million as of Jun 30, 2026, up 292.6% year-over-year; for FY2025, it came in at $1.01 million, up 101.2% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 66.4% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $499,805 in FY2024 (+10.2%), $453,671 in FY2023 (-15.4%), $536,313 in FY2022 (-24.1%) and $706,242 in FY2021 (+794.9%).
- Quarterly Capital Expenditures has ranged from $24,914 in Q4 2022 to $584,618 in Q4 2025 over the past five years.
- On a year-over-year basis, Capital Expenditures has increased for five consecutive quarters, with growth averaging 145.0% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 490.6% in Q3 2022, against a decline of 75.0% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $326,982 (Q1 2026), $584,618 (Q4 2025) and $205,499 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 1.44 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 422.00 Mn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 108.40 Mn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 995.70 Mn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 270.00 Mn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | -491.00 Mn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 90.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 113.00 Mn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 68.60 Mn |
| 10 | SCI Engineered Materials | 45.79 Mn | 8.55 Mn | 2.28 Mn | 560,626.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 560,626.00 |
| Mar 31, 2026 | 326,982.00 |
| Dec 31, 2025 | 584,618.00 |
| Sep 30, 2025 | 205,499.00 |
| Jun 30, 2025 | 132,118.00 |
| Mar 31, 2025 | 83,336.00 |
| Dec 31, 2024 | 120,877.00 |
| Sep 30, 2024 | 91,002.00 |
| Jun 30, 2024 | 111,392.00 |
| Mar 31, 2024 | 176,534.00 |
| Dec 31, 2023 | 55,311.00 |
| Sep 30, 2023 | 183,838.00 |
| Jun 30, 2023 | 50,801.00 |
| Mar 31, 2023 | 163,721.00 |
| Dec 31, 2022 | 24,914.00 |
| Sep 30, 2022 | 332,259.00 |
| Jun 30, 2022 | 99,298.00 |
| Mar 31, 2022 | 79,842.00 |
| Dec 31, 2021 | 91,154.00 |
| Sep 30, 2021 | 56,260.00 |
SCI Engineered Materials Capital Expenditures 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=capital-expenditures&ticker=SCIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();