Doximity (DOCS) Research & Development (2020 - 2026)
Doximity (DOCS) recorded Research & Development of $38.48 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 43.6% from $26.8 million a year earlier but down 1.6% from the prior quarter.
Doximity (DOCS) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, Doximity's Research & Development came in at $142.38 million as of Jun 30, 2026, up 46.4% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $130.7 million, up 40.5% from FY2025.
- Annual Research & Development has increased for six straight fiscal years, with a five-year compound annual growth rate of 24.4% (FY2021 to FY2026).
- Across earlier fiscal years, Research & Development came in at $93.04 million in FY2025 (+13.5%), $81.98 million in FY2024 (+2.2%), $80.19 million in FY2023 (+28.6%) and $62.35 million in FY2022 (+42.1%).
- Quarterly Research & Development has ranged from $15.46 million in fiscal Q2 2022 to $39.11 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Research & Development has increased for nine consecutive quarters, with growth averaging 32.0% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 57.7% in fiscal Q4 2026, against a decline of 6.5% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $39.11 million (Q4 2026), $34.6 million (Q3 2026) and $30.2 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 222.92 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 102.56 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 109.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 115.71 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 177.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 92.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 34.77 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 107.00 Mn |
| 10 | Doximity | 4.71 Bn | 1.66 Bn | 132.93 Mn | 38.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.48 Mn |
| Mar 31, 2026 | 39.11 Mn |
| Dec 31, 2025 | 34.60 Mn |
| Sep 30, 2025 | 30.20 Mn |
| Jun 30, 2025 | 26.80 Mn |
| Mar 31, 2025 | 24.80 Mn |
| Dec 31, 2024 | 22.42 Mn |
| Sep 30, 2024 | 23.24 Mn |
| Jun 30, 2024 | 22.57 Mn |
| Mar 31, 2024 | 20.15 Mn |
| Dec 31, 2023 | 19.95 Mn |
| Sep 30, 2023 | 19.96 Mn |
| Jun 30, 2023 | 21.93 Mn |
| Mar 31, 2023 | 21.54 Mn |
| Dec 31, 2022 | 20.52 Mn |
| Sep 30, 2022 | 19.10 Mn |
| Jun 30, 2022 | 19.02 Mn |
| Mar 31, 2022 | 17.42 Mn |
| Dec 31, 2021 | 16.23 Mn |
| Sep 30, 2021 | 15.46 Mn |
Doximity 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=DOCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "DOCS", "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=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();