SCI Engineered Materials (SCIA) Net Cash Flow (2010 - 2026)
SCI Engineered Materials' Net Cash Flow came in at $1.35 million for Q2 2026, up 118.6% from $617,248 a year earlier and up 124.5% from the prior quarter.
SCI Engineered Materials (SCIA) Net Cash Flow (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, SCI Engineered Materials reported Net Cash Flow of $2.42 million, up 35.4% year-over-year; for FY2025, it was $1.19 million, up 9.8% from FY2024.
- Net Cash Flow carries a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Going back by year, Net Cash Flow was $1.08 million in FY2024 (-37.5%), $1.73 million in FY2023, -$192,976 in FY2022 and $1.22 million in FY2021 (+12.3%).
- The five-year range for quarterly Net Cash Flow is -$1.67 million (Q4 2022) to $1.51 million (Q3 2025).
- Year-over-year, Net Cash Flow increased in four of the last five quarters, with growth averaging 43.9%.
- The fastest year-over-year change in Net Cash Flow over five years came in Q1 2022 (growth of 465.6%), and the weakest in Q3 2022 (a decline of 55.1%).
- Business Quant data shows SCIA's Net Cash Flow at $601,160 (Q1 2026), -$1.04 million (Q4 2025) and $1.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 934.00 Mn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 727.00 Mn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 75.80 Mn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 27.20 Mn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 4.00 Mn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 157.00 Mn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 109.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | -62.00 Mn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 380.80 Mn |
| 10 | SCI Engineered Materials | 45.79 Mn | 8.55 Mn | 2.28 Mn | 1.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Mn |
| Mar 31, 2026 | 601,160.00 |
| Dec 31, 2025 | -1.04 Mn |
| Sep 30, 2025 | 1.51 Mn |
| Jun 30, 2025 | 617,248.00 |
| Mar 31, 2025 | 600,017.00 |
| Dec 31, 2024 | -902,643.00 |
| Sep 30, 2024 | 1.47 Mn |
| Jun 30, 2024 | 727,149.00 |
| Mar 31, 2024 | -208,667.00 |
| Dec 31, 2023 | -124,619.00 |
| Sep 30, 2023 | 690,500.00 |
| Jun 30, 2023 | 612,944.00 |
| Mar 31, 2023 | 547,203.00 |
| Dec 31, 2022 | -1.67 Mn |
| Sep 30, 2022 | 205,047.00 |
| Jun 30, 2022 | 762,735.00 |
| Mar 31, 2022 | 505,533.00 |
| Dec 31, 2021 | 187,557.00 |
| Sep 30, 2021 | 456,183.00 |
SCI Engineered Materials Net Cash Flow 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=net-cash-flow&ticker=SCIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();