Bandwidth (BAND) Operating Expenses (2016 - 2026)
Bandwidth (BAND) reported Operating Expenses of $83.1 million for Q2 2026, up 10.2% from $75.41 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Bandwidth (BAND) Operating Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bandwidth's Operating Expenses came in at $323.44 million, up 6.1% year-over-year; for FY2025, it came in at $309.42 million, up 3.1% from FY2024.
- Operating Expenses has increased for ten consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $300.02 million in FY2024 (+10.5%), $271.61 million in FY2023 (+3.4%), $262.68 million in FY2022 (+21.6%) and $216.05 million in FY2021 (+29.1%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q3 2016.
- Year over year, Operating Expenses has now increased in each of the last 18 quarters, with growth averaging 6.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 50.2%); the low point was Q4 2021 (a decline of 6.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $82.54 million (Q1 2026), $82 million (Q4 2025) and $75.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 641.32 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 1.27 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Bandwidth | 1.88 Bn | 1.46 Bn | 78.54 Mn | 83.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.10 Mn |
| Mar 31, 2026 | 82.54 Mn |
| Dec 31, 2025 | 82.00 Mn |
| Sep 30, 2025 | 75.81 Mn |
| Jun 30, 2025 | 75.41 Mn |
| Mar 31, 2025 | 76.20 Mn |
| Dec 31, 2024 | 79.18 Mn |
| Sep 30, 2024 | 74.03 Mn |
| Jun 30, 2024 | 70.90 Mn |
| Mar 31, 2024 | 75.90 Mn |
| Dec 31, 2023 | 72.09 Mn |
| Sep 30, 2023 | 65.65 Mn |
| Jun 30, 2023 | 66.47 Mn |
| Mar 31, 2023 | 67.41 Mn |
| Dec 31, 2022 | 71.09 Mn |
| Sep 30, 2022 | 64.85 Mn |
| Jun 30, 2022 | 64.45 Mn |
| Mar 31, 2022 | 62.28 Mn |
| Dec 31, 2021 | 56.18 Mn |
| Sep 30, 2021 | 56.13 Mn |
API Access
Bandwidth Operating Expenses 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=operating-expenses&ticker=BAND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BAND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();