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 | 97.58 Bn | 72.83 Bn | 6.00 Bn | 1.29 Bn |
| 2 | Atlassian | 55.96 Bn | 49.24 Bn | 1.53 Bn | 759.82 Mn |
| 3 | Autodesk | 50.57 Bn | 38.61 Bn | 1.87 Bn | 464.00 Mn |
| 4 | Twilio | 39.35 Bn | 29.42 Bn | 725.87 Mn | 273.32 Mn |
| 5 | Zoom Communications | 28.55 Bn | -2.24 Bn | 985.50 Mn | 242.50 Mn |
| 6 | Figma | 11.38 Bn | 4.89 Bn | 309.61 Mn | 167.33 Mn |
| 7 | Dropbox | 8.07 Bn | 3.71 Bn | 506.50 Mn | 188.10 Mn |
| 8 | Nice | 7.10 Bn | 5.56 Bn | 995.81 Mn | 200.30 Mn |
| 9 | RingCentral | 6.67 Bn | 6.16 Bn | 472.31 Mn | 82.80 Mn |
| 10 | Open Text | 6.41 Bn | 1.84 Bn | 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();