CEA Industries (BNC) Gains from Sales and Divestitures (2016 - 2026)
CEA Industries (BNC) posted Gains from Sales and Divestitures of $1.00 for fiscal Q3 2026 (quarter ended Jan 31, 2026).
CEA Industries (BNC) Gains from Sales and Divestitures (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jan 31, 2026, Gains from Sales and Divestitures at CEA Industries was -$751.00; for FY2024 (ended Dec 31, 2024), it came in at -$12,796.
- In prior fiscal years, CEA Industries' Gains from Sales and Divestitures was -$100.00 in FY2023, -$4,489 in FY2022, -$67,567 in FY2021 and -$4,124 in FY2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | CEA Industries | 309.55 Mn | 255.55 Mn | 1.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 1.00 |
| Oct 31, 2025 | -2,712.00 |
| Jul 31, 2025 | 2,131.00 |
| Dec 31, 2024 | -171.00 |
| Mar 31, 2024 | -12,625.00 |
| Mar 31, 2023 | -100.00 |
| Sep 30, 2022 | -429.00 |
| Jun 30, 2022 | 1,439.00 |
| Mar 31, 2022 | -5,499.00 |
| Dec 31, 2021 | -59,525.00 |
| Mar 31, 2020 | -4,124.00 |
| Sep 30, 2019 | -57,335.00 |
| Dec 31, 2018 | -1.00 |
| Dec 31, 2016 | -3,163.00 |
| Sep 30, 2016 | 733.00 |
CEA Industries Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=BNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "BNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=BNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();