Dropbox (DBX) Operating Expenses (2017 - 2026)
Dropbox (DBX) reported Operating Expenses of $341.7 million for Q2 2026, up 2.4% from $333.6 million a year earlier and up 4.0% from the prior quarter.
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Analysis
Dropbox (DBX) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dropbox's Operating Expenses came in at $1.34 billion, down 10.0% year-over-year; for FY2025, it came in at $1.33 billion, down 17.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.62 billion in FY2024 (+8.9%), $1.48 billion in FY2023 (-12.7%), $1.7 billion in FY2022 (+18.1%) and $1.44 billion in FY2021 (-19.0%).
- Five-year quarterly Operating Expenses spans a low of $245.6 million in Q4 2023 and a high of $563.4 million in Q4 2022.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 1.9%.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 77.1%); the low point was Q4 2023 (a decline of 56.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $328.6 million (Q1 2026), $341.9 million (Q4 2025) and $331.4 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 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 691.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 341.70 Mn |
| Mar 31, 2026 | 328.60 Mn |
| Dec 31, 2025 | 341.90 Mn |
| Sep 30, 2025 | 331.40 Mn |
| Jun 30, 2025 | 333.60 Mn |
| Mar 31, 2025 | 324.20 Mn |
| Dec 31, 2024 | 434.90 Mn |
| Sep 30, 2024 | 399.50 Mn |
| Jun 30, 2024 | 400.50 Mn |
| Mar 31, 2024 | 382.00 Mn |
| Dec 31, 2023 | 245.60 Mn |
| Sep 30, 2023 | 382.70 Mn |
| Jun 30, 2023 | 445.90 Mn |
| Mar 31, 2023 | 410.20 Mn |
| Dec 31, 2022 | 563.40 Mn |
| Sep 30, 2022 | 392.00 Mn |
| Jun 30, 2022 | 384.00 Mn |
| Mar 31, 2022 | 360.00 Mn |
| Dec 31, 2021 | 379.50 Mn |
| Sep 30, 2021 | 360.90 Mn |
API Access
Dropbox 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=DBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DBX", "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=DBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();