Bos Better Online Solutions (BOSC) Cost of Revenue (2009 - 2026)
Bos Better Online Solutions (BOSC) posted Cost of Revenue of $11.44 million for Q2 2026, up 28.6% from $8.9 million a year earlier and up 33.8% from the prior quarter.
Bos Better Online Solutions (BOSC) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Bos Better Online Solutions was $38.16 million, up 6.0% year-over-year; for FY2025, it was $38.49 million, up 25.6% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In prior years, Bos Better Online Solutions' Cost of Revenue was $30.66 million in FY2024 (-12.3%), $34.97 million in FY2023 (+7.8%), $32.45 million in FY2022 (+20.0%) and $27.05 million in FY2021 (-1.4%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q1 2009.
- On a year-over-year basis, Cost of Revenue increased in five of the last eight quarters, with growth averaging 12.3%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2022, with growth of 51.2%; the weakest was Q2 2024, with a decline of 30.0%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $8.56 million (Q1 2026), $9.6 million (Q4 2025) and $8.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 3.48 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 3.65 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 20.13 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 5.25 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 8.87 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 7.43 Bn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 13.57 Bn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 985.20 Mn |
| 10 | Bos Better Online Solutions | 32.54 Mn | -7.94 Mn | 3.41 Mn | 11.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.44 Mn |
| Mar 31, 2026 | 8.56 Mn |
| Dec 31, 2025 | 9.60 Mn |
| Sep 30, 2025 | 8.56 Mn |
| Jun 30, 2025 | 8.90 Mn |
| Mar 31, 2025 | 11.44 Mn |
| Dec 31, 2024 | 8.01 Mn |
| Sep 30, 2024 | 7.67 Mn |
| Jun 30, 2024 | 6.25 Mn |
| Mar 31, 2024 | 8.73 Mn |
| Dec 31, 2023 | 8.80 Mn |
| Sep 30, 2023 | 7.77 Mn |
| Jun 30, 2023 | 8.93 Mn |
| Mar 31, 2023 | 9.48 Mn |
| Dec 31, 2022 | 8.74 Mn |
| Sep 30, 2022 | 7.05 Mn |
| Jun 30, 2022 | 8.13 Mn |
| Mar 31, 2022 | 8.54 Mn |
| Dec 31, 2021 | 7.35 Mn |
| Sep 30, 2021 | 6.42 Mn |
Bos Better Online Solutions Cost of Revenue 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=cost-of-revenue&ticker=BOSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "BOSC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=BOSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();