Sangoma Technologies (SANG) Receivables (2020 - 2026)
Sangoma Technologies (SANG) reported Receivables of $12.35 million for the quarter ended Jun 30, 2026, down 24.2% from $16.3 million a year earlier but up 15.1% from the prior quarter.
Sangoma Technologies (SANG) Receivables (2020 - 2026) Analysis & Trends
Dating back to the quarter ended Jun 30, 2020, Sangoma Technologies' Receivables record includes 21 quarters.
- Receivables has declined for four consecutive years, with a five-year compound annual growth rate of -4.4% (years ended Jun 2021 to Jun 2026).
- By year, Receivables came in at $16.3 million in the year ended Jun 30, 2025 (-18.8%), $20.08 million in the year ended Jun 30, 2024 (-15.2%), $23.67 million in the year ended Jun 30, 2023 (-6.0%) and $25.17 million in the year ended Jun 30, 2022 (+62.6%).
- Five-year quarterly Receivables spans a low of $10.45 million in the quarter ended Dec 31, 2025 and a high of $26.52 million in the quarter ended Sep 30, 2022.
- Year over year, Receivables has now declined in each of the last 13 quarters, with an average decline of 24.4% over the last eight quarters.
- The high point for year-over-year Receivables in five years was the quarter ended Jun 30, 2022 (growth of 62.6%); the low point was the quarter ended Mar 31, 2025 (a decline of 47.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $10.73 million (quarter ended Mar 31, 2026), $10.45 million (quarter ended Dec 31, 2025) and $14.21 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 2.15 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.27 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 760.07 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 684.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 621.36 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 190.88 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 76.30 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 836.59 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 493.49 Mn |
| 10 | Sangoma Technologies | 119.69 Mn | 119.69 Mn | 32.27 Mn | 12.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.35 Mn |
| Mar 31, 2026 | 10.73 Mn |
| Dec 31, 2025 | 10.45 Mn |
| Sep 30, 2025 | 14.21 Mn |
| Jun 30, 2025 | 16.30 Mn |
| Mar 31, 2025 | 11.18 Mn |
| Dec 31, 2024 | 15.34 Mn |
| Sep 30, 2024 | 17.69 Mn |
| Jun 30, 2024 | 20.08 Mn |
| Mar 31, 2024 | 21.24 Mn |
| Dec 31, 2023 | 21.66 Mn |
| Sep 30, 2023 | 22.04 Mn |
| Jun 30, 2023 | 23.67 Mn |
| Mar 31, 2023 | 24.41 Mn |
| Dec 31, 2022 | 24.01 Mn |
| Sep 30, 2022 | 26.52 Mn |
| Jun 30, 2022 | 25.17 Mn |
| Mar 31, 2022 | 19.49 Mn |
| Dec 31, 2021 | 16.90 Mn |
| Jun 30, 2021 | 15.47 Mn |
Sangoma Technologies Receivables 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=receivables&ticker=SANG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();