Boxlight (BOXL) Selling, General & Administrative (2016 - 2026)
Boxlight (BOXL) posted Selling, General & Administrative of $8.36 million for Q2 2026, down 23.9% from $10.98 million a year earlier but up 0.1% from the prior quarter.
Boxlight (BOXL) Selling, General & Administrative (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Boxlight was $33.6 million, down 8.8% year-over-year; for FY2025, it came in at $35.45 million, down 15.1% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In prior years, Boxlight's Selling, General & Administrative was $41.76 million in FY2024 (-31.8%), $61.25 million in FY2023 (+3.2%), $59.34 million in FY2022 (+25.5%) and $47.27 million in FY2021 (+123.4%).
- Quarterly Selling, General & Administrative has run from a low of $7.58 million in Q1 2025 to a high of $15.89 million in Q4 2023 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in 1 of the last eight quarters, with an average decline of 21.5%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2021, with growth of 260.8%; the weakest was Q1 2025, with a decline of 50.3%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $8.35 million (Q1 2026), $8.17 million (Q4 2025) and $8.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 50.59 Mn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 149.70 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 114.00 Mn |
| 10 | Boxlight | 3.73 Mn | -28.66 Mn | 12.91 Mn | 8.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.36 Mn |
| Mar 31, 2026 | 8.35 Mn |
| Dec 31, 2025 | 8.17 Mn |
| Sep 30, 2025 | 8.73 Mn |
| Jun 30, 2025 | 10.98 Mn |
| Mar 31, 2025 | 7.58 Mn |
| Dec 31, 2024 | 8.28 Mn |
| Sep 30, 2024 | 10.01 Mn |
| Jun 30, 2024 | 12.32 Mn |
| Mar 31, 2024 | 15.25 Mn |
| Dec 31, 2023 | 15.89 Mn |
| Sep 30, 2023 | 15.41 Mn |
| Jun 30, 2023 | 15.23 Mn |
| Mar 31, 2023 | 14.73 Mn |
| Dec 31, 2022 | 14.62 Mn |
| Sep 30, 2022 | 13.95 Mn |
| Jun 30, 2022 | 15.30 Mn |
| Mar 31, 2022 | 15.46 Mn |
| Dec 31, 2021 | 14.43 Mn |
| Sep 30, 2021 | 11.93 Mn |
Boxlight Selling, General & Administrative 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=selling-general-and-administrative&ticker=BOXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BOXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();