BNB Standard (BNC) Long-Term Debt Repayments (2014 - 2026)
CEA Industries' Long-Term Debt Repayments was $4 million in FY2026 (year ended Apr 30, 2026).
Analysis
BNB Standard (BNC) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
From FY2014 onward, CEA Industries has reported Long-Term Debt Repayments for 6 fiscal years.
- The FY2026 figure marks the highest annual Long-Term Debt Repayments in data going back to FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.43 Bn | 98.52 Bn | - | - |
| 2 | Intercontinental Exchange | 92.22 Bn | 85.96 Bn | - | - |
| 3 | Robinhood Markets | 86.78 Bn | 67.81 Bn | - | 10.00 Mn |
| 4 | Nasdaq | 58.09 Bn | 55.52 Bn | 1.50 Bn | 431.00 Mn |
| 5 | Interactive Brokers | 36.85 Bn | 13.96 Bn | - | - |
| 6 | Cboe Global Markets | 34.46 Bn | 26.11 Bn | 731.60 Mn | - |
| 7 | Tradeweb Markets | 25.89 Bn | 17.90 Bn | - | - |
| 8 | LPL Financial Holdings | 25.45 Bn | 20.77 Bn | - | - |
| 9 | Circle Internet | 21.46 Bn | 15.33 Bn | 288.85 Mn | - |
| 10 | BNB Standard | 273.30 Mn | 219.30 Mn | 1.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 27,912.00 |
| Mar 31, 2018 | 6,927.00 |
| Dec 31, 2017 | 14,749.00 |
| Sep 30, 2017 | 14,529.00 |
| Jun 30, 2017 | 33,178.00 |
| Mar 31, 2017 | 270,000.00 |
| Dec 31, 2016 | 11,002.00 |
| Sep 30, 2016 | 14,841.00 |
| Jun 30, 2016 | 96,168.00 |
| Mar 31, 2016 | 34,115.00 |
| Dec 31, 2015 | 143,329.00 |
| Sep 30, 2015 | 40,097.00 |
| Jun 30, 2015 | 14,372.00 |
| Mar 31, 2015 | 61,385.00 |
| Dec 31, 2014 | 65,492.00 |
API Access
BNB Standard Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();