Sangoma Technologies (SANG) Cash & Equivalents (2020 - 2026)
Sangoma Technologies (SANG) reported Cash & Equivalents of $10.43 million for the quarter ended Jun 30, 2026, down 22.7% from $13.49 million a year earlier and down 31.4% from the prior quarter.
Sangoma Technologies (SANG) Cash & Equivalents (2020 - 2026) Analysis & Trends
Dating back to the quarter ended Jun 30, 2020, Sangoma Technologies' Cash & Equivalents record includes 21 quarters.
- Cash & Equivalents has a five-year compound annual growth rate of -13.9% (years ended Jun 2021 to Jun 2026).
- By year, Cash & Equivalents came in at $13.49 million in the year ended Jun 30, 2025 (-16.9%), $16.23 million in the year ended Jun 30, 2024 (+45.5%), $11.16 million in the year ended Jun 30, 2023 (-12.2%) and $12.7 million in the year ended Jun 30, 2022 (-42.5%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Cash & Equivalents since the quarter ended Mar 31, 2023.
- Year over year, Cash & Equivalents gained in three of the last eight quarters, with growth averaging 6.0%.
- The high point for year-over-year Cash & Equivalents in five years was the quarter ended Mar 31, 2024 (growth of 129.6%); the low point was the quarter ended Dec 31, 2022 (a decline of 59.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $15.2 million (quarter ended Mar 31, 2026), $17.12 million (quarter ended Dec 31, 2025) and $15.68 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 103.15 Bn | 78.40 Bn | 6.00 Bn | 4.36 Bn |
| 2 | Atlassian | 59.22 Bn | 52.50 Bn | 1.53 Bn | 1.24 Bn |
| 3 | Autodesk | 52.71 Bn | 40.74 Bn | 1.87 Bn | 4.10 Bn |
| 4 | Twilio | 40.18 Bn | 30.25 Bn | 725.87 Mn | 823.26 Mn |
| 5 | Zoom Communications | 28.00 Bn | -2.79 Bn | 985.50 Mn | 931.99 Mn |
| 6 | Figma | 13.07 Bn | 6.58 Bn | 309.61 Mn | 445.85 Mn |
| 7 | Dropbox | 8.31 Bn | 3.95 Bn | 506.50 Mn | 1.06 Bn |
| 8 | Nice | 7.32 Bn | 5.79 Bn | 995.81 Mn | 315.38 Mn |
| 9 | RingCentral | 7.05 Bn | 6.57 Bn | 494.30 Mn | 110.12 Mn |
| 10 | Sangoma Technologies | 156.36 Mn | 97.86 Mn | 32.27 Mn | 10.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.43 Mn |
| Mar 31, 2026 | 15.20 Mn |
| Dec 31, 2025 | 17.12 Mn |
| Sep 30, 2025 | 15.68 Mn |
| Jun 30, 2025 | 13.49 Mn |
| Mar 31, 2025 | 17.29 Mn |
| Dec 31, 2024 | 17.07 Mn |
| Sep 30, 2024 | 16.75 Mn |
| Jun 30, 2024 | 16.23 Mn |
| Mar 31, 2024 | 18.39 Mn |
| Dec 31, 2023 | 10.56 Mn |
| Sep 30, 2023 | 11.14 Mn |
| Jun 30, 2023 | 11.16 Mn |
| Mar 31, 2023 | 8.01 Mn |
| Dec 31, 2022 | 6.80 Mn |
| Sep 30, 2022 | 8.29 Mn |
| Jun 30, 2022 | 12.70 Mn |
| Mar 31, 2022 | 16.24 Mn |
| Dec 31, 2021 | 16.95 Mn |
| Jun 30, 2021 | 22.10 Mn |
Sangoma Technologies 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=SANG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "SANG", "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=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();