Bandwidth (BAND) Selling, General & Administrative (2016 - 2026)
Bandwidth (BAND) reported Selling, General & Administrative of $20.39 million for Q2 2026, up 8.2% from $18.85 million a year earlier and up 4.9% from the prior quarter.
Bandwidth (BAND) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bandwidth's Selling, General & Administrative came in at $77.1 million, up 2.7% year-over-year; for FY2025, it was $75.22 million, up 4.9% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $71.69 million in FY2024 (+9.7%), $65.36 million in FY2023 (-3.9%), $68.03 million in FY2022 (+5.9%) and $64.21 million in FY2021 (+24.3%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q3 2016.
- Year over year, Selling, General & Administrative gained in seven of the last eight quarters, with growth averaging 7.2%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2022 (growth of 20.2%); the low point was Q3 2022 (a decline of 8.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.44 million (Q1 2026), $19.17 million (Q4 2025) and $18.1 million (Q3 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 | Bandwidth | 1.96 Bn | 1.55 Bn | 78.54 Mn | 20.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.39 Mn |
| Mar 31, 2026 | 19.44 Mn |
| Dec 31, 2025 | 19.17 Mn |
| Sep 30, 2025 | 18.10 Mn |
| Jun 30, 2025 | 18.85 Mn |
| Mar 31, 2025 | 19.11 Mn |
| Dec 31, 2024 | 19.56 Mn |
| Sep 30, 2024 | 17.58 Mn |
| Jun 30, 2024 | 16.71 Mn |
| Mar 31, 2024 | 17.85 Mn |
| Dec 31, 2023 | 16.93 Mn |
| Sep 30, 2023 | 15.84 Mn |
| Jun 30, 2023 | 15.87 Mn |
| Mar 31, 2023 | 16.72 Mn |
| Dec 31, 2022 | 17.84 Mn |
| Sep 30, 2022 | 16.62 Mn |
| Jun 30, 2022 | 16.86 Mn |
| Mar 31, 2022 | 16.71 Mn |
| Dec 31, 2021 | 14.84 Mn |
| Sep 30, 2021 | 18.13 Mn |
Bandwidth 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=BAND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "BAND", "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=BAND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();