Boxlight (BOXL) Long-Term Debt Repayments (2017 - 2025)
Boxlight (BOXL) reported Long-Term Debt Repayments of $3.17 million for Q4 2025, up 85.5% from $1.71 million a year earlier and up 32.6% from the prior quarter.
Boxlight (BOXL) Long-Term Debt Repayments (2017 - 2025) Analysis & Trends
For FY2025, Boxlight posted Long-Term Debt Repayments of $5.55 million, down 1.2% from FY2024.
- Long-Term Debt Repayments has declined for three consecutive years, with a three-year compound annual growth rate of -20.7% (FY2022 to FY2025).
- By year, Long-Term Debt Repayments came in at $5.62 million in FY2024 (-16.8%), $6.76 million in FY2023 (-39.4%) and $11.14 million in FY2022.
- The Q4 2025 figure ranks as the highest quarterly Long-Term Debt Repayments since Q4 2023.
- Year over year, Long-Term Debt Repayments gained in five of the last six quarters, with growth averaging 81.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | - |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | - |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn | 582.50 Mn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn | - |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn | 691.93 Mn |
| 10 | Boxlight | 1.64 Mn | -30.74 Mn | 12.91 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.17 Mn |
| Sep 30, 2025 | 2.39 Mn |
| Dec 31, 2024 | 1.71 Mn |
| Sep 30, 2024 | 819,000.00 |
| Jun 30, 2024 | 789,000.00 |
| Mar 31, 2024 | 2.31 Mn |
| Dec 31, 2023 | 4.71 Mn |
| Sep 30, 2023 | 670,000.00 |
| Jun 30, 2023 | 708,000.00 |
| Mar 31, 2023 | 670,000.00 |
| Dec 31, 2022 | 9.26 Mn |
| Dec 31, 2017 | 627,550.00 |
| Mar 31, 2017 | 195,000.00 |
Boxlight 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=BOXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "BOXL", "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=BOXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();