Bos Better Online Solutions (BOSC) Cash & Equivalents (2009 - 2026)
Bos Better Online Solutions (BOSC) posted Cash & Equivalents of $10.38 million for Q2 2026, up 100.7% from $5.17 million a year earlier but down 1.7% from the prior quarter.
Bos Better Online Solutions (BOSC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Bos Better Online Solutions' Cash & Equivalents came in at $11.83 million, up 251.1% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 58.7% (FY2020 to FY2025).
- In prior years, Bos Better Online Solutions' Cash & Equivalents was $3.37 million in FY2024 (+43.7%), $2.34 million in FY2023 (+33.0%), $1.76 million in FY2022 (-6.0%) and $1.88 million in FY2021 (+59.4%).
- Quarterly Cash & Equivalents has run from a low of $1.18 million in Q3 2023 to a high of $11.83 million in Q4 2025 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last 11 quarters, with growth averaging 133.3% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2025, with growth of 263.3%; the weakest was Q3 2022, with a decline of 39.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $10.56 million (Q1 2026), $11.83 million (Q4 2025) and $7.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 1.09 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 452.29 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 244.63 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 155.40 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 808.97 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Bos Better Online Solutions | 32.54 Mn | -7.94 Mn | 3.41 Mn | 10.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.38 Mn |
| Mar 31, 2026 | 10.56 Mn |
| Dec 31, 2025 | 11.83 Mn |
| Sep 30, 2025 | 7.32 Mn |
| Jun 30, 2025 | 5.17 Mn |
| Mar 31, 2025 | 3.84 Mn |
| Dec 31, 2024 | 3.37 Mn |
| Sep 30, 2024 | 2.01 Mn |
| Jun 30, 2024 | 2.36 Mn |
| Mar 31, 2024 | 2.70 Mn |
| Dec 31, 2023 | 2.34 Mn |
| Sep 30, 2023 | 1.18 Mn |
| Jun 30, 2023 | 1.93 Mn |
| Mar 31, 2023 | 2.29 Mn |
| Dec 31, 2022 | 1.76 Mn |
| Sep 30, 2022 | 1.21 Mn |
| Jun 30, 2022 | 2.12 Mn |
| Mar 31, 2022 | 1.30 Mn |
| Dec 31, 2021 | 1.88 Mn |
| Sep 30, 2021 | 2.00 Mn |
Bos Better Online Solutions Cash & Equivalents 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=cash-and-equivalents&ticker=BOSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BOSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();