CEA Industries (BNC) Finished Goods (2014 - 2026)
CEA Industries (BNC) recorded Finished Goods of $3.77 million in fiscal Q3 2026 (quarter ended Jan 31, 2026), up 14.4% from the prior quarter.
Analysis
CEA Industries (BNC) Finished Goods (2014 - 2026) Analysis & Trends
At the end of FY2025 (ended Apr 30, 2025), CEA Industries reported Finished Goods of $3.24 million.
- Annual Finished Goods has a five-year compound annual growth rate of 74.2% (FY2020 to FY2025).
- Across earlier fiscal years, Finished Goods came in at $132,289 in FY2024 (-63.9%), $366,844 in FY2023 (+35.6%), $270,555 in FY2022 (-0.6%) and $272,199 in FY2021 (+34.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | CEA Industries | 311.67 Mn | 257.66 Mn | 1.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 3.77 Mn |
| Oct 31, 2025 | 3.30 Mn |
| Jul 31, 2025 | 3.29 Mn |
| Mar 31, 2025 | 121,781.00 |
| Dec 31, 2024 | 132,289.00 |
| Sep 30, 2024 | 141,393.00 |
| Jun 30, 2024 | 138,886.00 |
| Mar 31, 2024 | 355,138.00 |
| Dec 31, 2023 | 366,844.00 |
| Sep 30, 2023 | 371,689.00 |
| Jun 30, 2023 | 398,455.00 |
| Mar 31, 2023 | 410,208.00 |
| Dec 31, 2022 | 270,555.00 |
| Sep 30, 2022 | 389,290.00 |
| Jun 30, 2022 | 228,378.00 |
| Mar 31, 2022 | 913,887.00 |
| Dec 31, 2021 | 272,199.00 |
| Sep 30, 2021 | 319,335.00 |
| Jun 30, 2021 | 321,171.00 |
| Mar 31, 2021 | 325,451.00 |
API Access
CEA Industries Finished Goods 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=finished-goods&ticker=BNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=BNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();