Dropbox (DBX) Research & Development (2017 - 2026)
Dropbox (DBX) posted Research & Development of $188.1 million for Q2 2026, up 2.0% from $184.4 million a year earlier and up 2.1% from the prior quarter.
Dropbox (DBX) Research & Development (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Dropbox was $741.5 million, down 10.8% year-over-year; for FY2025, it came in at $732 million, down 20.0% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior years, Dropbox's Research & Development was $914.9 million in FY2024 (-2.3%), $936.5 million in FY2023 (+5.0%), $891.9 million in FY2022 (+18.0%) and $755.9 million in FY2021 (+3.9%).
- The Q2 2026 figure stands as the highest quarterly Research & Development since Q4 2024.
- On a year-over-year basis, Research & Development increased in four of the last eight quarters, with an average decline of 7.6%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q2 2023, with growth of 22.2%; the weakest was Q4 2025, with a decline of 23.1%.
- According to Business Quant data, Research & Development for the three prior quarters was $184.2 million (Q1 2026), $186.9 million (Q4 2025) and $182.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 1.29 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 759.82 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 273.32 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 464.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 242.50 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 167.33 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 188.10 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 200.30 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 82.80 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 149.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 188.10 Mn |
| Mar 31, 2026 | 184.20 Mn |
| Dec 31, 2025 | 186.90 Mn |
| Sep 30, 2025 | 182.30 Mn |
| Jun 30, 2025 | 184.40 Mn |
| Mar 31, 2025 | 178.40 Mn |
| Dec 31, 2024 | 243.00 Mn |
| Sep 30, 2024 | 225.70 Mn |
| Jun 30, 2024 | 227.10 Mn |
| Mar 31, 2024 | 219.10 Mn |
| Dec 31, 2023 | 222.10 Mn |
| Sep 30, 2023 | 216.40 Mn |
| Jun 30, 2023 | 262.80 Mn |
| Mar 31, 2023 | 235.20 Mn |
| Dec 31, 2022 | 238.50 Mn |
| Sep 30, 2022 | 227.60 Mn |
| Jun 30, 2022 | 215.00 Mn |
| Mar 31, 2022 | 210.80 Mn |
| Dec 31, 2021 | 201.90 Mn |
| Sep 30, 2021 | 187.30 Mn |
Dropbox Research & Development 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=research-and-development&ticker=DBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();