Boxlight (BOXL) Price to Book (2017 - 2025)
Boxlight's Price to Book came in at 2.08 for Q4 2025.
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Analysis
Boxlight (BOXL) Price to Book (2017 - 2025) Analysis & Trends
Going back to Q4 2017, Boxlight's Price to Book data covers 27 quarters.
- Going back by year, Price to Book was 0.62 in FY2023 (+38.7%), 0.45 in FY2022 (-73.6%) and 1.70 in FY2021 (-7.9%).
- The Q4 2025 figure represents the highest quarterly Price to Book since Q1 2022.
- The fastest year-over-year change in Price to Book over five years came in Q1 2022 (growth of 94.3%), and the weakest in Q1 2023 (a decline of 90.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Boxlight | 3.98 Mn | -28.40 Mn | 12.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.08 |
| Sep 30, 2024 | 0.80 |
| Jun 30, 2024 | 0.80 |
| Mar 31, 2024 | 0.70 |
| Dec 31, 2023 | 0.62 |
| Sep 30, 2023 | 0.60 |
| Jun 30, 2023 | 0.41 |
| Mar 31, 2023 | 0.58 |
| Dec 31, 2022 | 0.45 |
| Sep 30, 2022 | 0.98 |
| Jun 30, 2022 | 1.11 |
| Mar 31, 2022 | 5.90 |
| Dec 31, 2021 | 1.70 |
| Sep 30, 2021 | 2.54 |
| Jun 30, 2021 | 2.82 |
| Mar 31, 2021 | 3.03 |
| Dec 31, 2020 | 1.84 |
| Sep 30, 2020 | 1.86 |
| Jun 30, 2020 | 1.51 |
| Sep 30, 2019 | 64.40 |
API Access
Boxlight Price to Book 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=price-to-book&ticker=BOXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=BOXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();