8X8 (EGHT) Selling, General & Administrative (2010 - 2025)
8X8 (EGHT) reported Selling, General & Administrative of $20.82 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 25.2% from $16.63 million a year earlier but down 6.4% from the prior quarter.
8X8 (EGHT) Selling, General & Administrative (2010 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, 8X8's Selling, General & Administrative came in at $89.22 million, down 5.6% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $82.41 million, down 26.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- By fiscal year, Selling, General & Administrative came in at $112.21 million in FY2024 (+3.9%), $108 million in FY2023 (-8.6%), $118.1 million in FY2022 (+18.0%) and $100.08 million in FY2021 (+15.0%).
- Five-year quarterly Selling, General & Administrative spans a low of $16.63 million in fiscal Q3 2025 and a high of $38.04 million in fiscal Q4 2022.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with growth averaging 0.9% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q4 2024 (growth of 73.0%); the low point was fiscal Q4 2023 (a decline of 46.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $22.24 million (Q2 2026), $23.33 million (Q1 2026) and $22.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 488.00 Mn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 168.19 Mn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 118.43 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 179.00 Mn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 98.16 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | 104.72 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 63.80 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 179.22 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 64.32 Mn |
| 10 | 8X8 | 317.59 Mn | -19.73 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 20.82 Mn |
| Sep 30, 2025 | 22.24 Mn |
| Jun 30, 2025 | 23.33 Mn |
| Mar 31, 2025 | 22.84 Mn |
| Dec 31, 2024 | 16.63 Mn |
| Sep 30, 2024 | 19.85 Mn |
| Jun 30, 2024 | 23.09 Mn |
| Mar 31, 2024 | 34.98 Mn |
| Dec 31, 2023 | 23.42 Mn |
| Sep 30, 2023 | 27.59 Mn |
| Jun 30, 2023 | 26.23 Mn |
| Mar 31, 2023 | 20.21 Mn |
| Dec 31, 2022 | 27.16 Mn |
| Sep 30, 2022 | 33.84 Mn |
| Jun 30, 2022 | 29.22 Mn |
| Mar 31, 2022 | 38.04 Mn |
| Dec 31, 2021 | 29.95 Mn |
| Sep 30, 2021 | 24.02 Mn |
| Jun 30, 2021 | 26.09 Mn |
| Mar 31, 2021 | 27.68 Mn |
8X8 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=EGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "EGHT", "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=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();