CEA Industries (BNC) Receivables (2011 - 2026)
CEA Industries' Receivables came in at $299,290 for fiscal Q3 2026 (quarter ended Jan 31, 2026), down 5.6% from the prior quarter.
Analysis
CEA Industries (BNC) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Apr 30, 2025), CEA Industries' Receivables was $668,301.
- Receivables carries a five-year compound annual growth rate of 82.0% (FY2020 to FY2025).
- Going back by fiscal year, Receivables was $247,369 in FY2024 (+1.8%), $243,069 in FY2023, $2,649 in FY2022 (-98.5%) and $179,444 in FY2021 (+436.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 22.80 Bn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 5.38 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 753.10 Mn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.87 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 1.18 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 696.00 Mn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 114.65 Bn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 570.60 Mn |
| 10 | CEA Industries | 297.91 Mn | 243.91 Mn | 1.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 299,290.00 |
| Oct 31, 2025 | 316,954.00 |
| Jul 31, 2025 | 422,269.00 |
| Mar 31, 2025 | 291,172.00 |
| Dec 31, 2024 | 247,369.00 |
| Sep 30, 2024 | 295,654.00 |
| Jun 30, 2024 | 256,572.00 |
| Mar 31, 2024 | 244,540.00 |
| Dec 31, 2023 | 243,069.00 |
| Sep 30, 2023 | 272,547.00 |
| Jun 30, 2023 | 293,767.00 |
| Mar 31, 2023 | 61,774.00 |
| Dec 31, 2022 | 2,649.00 |
| Sep 30, 2022 | 77,143.00 |
| Jun 30, 2022 | 219,416.00 |
| Mar 31, 2022 | 241,764.00 |
| Dec 31, 2021 | 179,444.00 |
| Sep 30, 2021 | 32,245.00 |
| Jun 30, 2021 | 234,450.00 |
| Mar 31, 2021 | 26,732.00 |
API Access
CEA Industries Receivables 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=receivables&ticker=BNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();