Doximity (DOCS) Operating Expenses (2020 - 2026)
Doximity's Operating Expenses was $99.28 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 31.3% from $75.6 million a year earlier but down 1.8% from the prior quarter.
Powered by 
Analysis
Doximity (DOCS) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Doximity's Operating Expenses was $383.3 million through Jun 30, 2026, up 29.8% year-over-year; for FY2026 (ended Mar 31, 2026), it was $359.62 million, up 25.4% from FY2025.
- Operating Expenses has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 24.1% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $286.73 million in FY2025 (+9.9%), $260.88 million in FY2024 (+8.5%), $240.45 million in FY2023 (+26.4%) and $190.23 million in FY2022 (+55.4%).
- Quarterly Operating Expenses has moved between $45.45 million (fiscal Q2 2022) and $101.14 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for nine straight quarters, with growth averaging 21.2% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2022 (growth of 67.0%); the worst was fiscal Q4 2024 (a decline of 1.3%).
- Per Business Quant data, DOCS's Operating Expenses in the three fiscal quarters before Q1 2027 was $101.14 million (Q4 2026), $94.46 million (Q3 2026) and $88.42 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Doximity | 4.71 Bn | 1.66 Bn | 132.93 Mn | 99.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.28 Mn |
| Mar 31, 2026 | 101.14 Mn |
| Dec 31, 2025 | 94.46 Mn |
| Sep 30, 2025 | 88.42 Mn |
| Jun 30, 2025 | 75.60 Mn |
| Mar 31, 2025 | 75.14 Mn |
| Dec 31, 2024 | 74.50 Mn |
| Sep 30, 2024 | 70.01 Mn |
| Jun 30, 2024 | 67.07 Mn |
| Mar 31, 2024 | 63.64 Mn |
| Dec 31, 2023 | 64.54 Mn |
| Sep 30, 2023 | 67.06 Mn |
| Jun 30, 2023 | 65.63 Mn |
| Mar 31, 2023 | 64.45 Mn |
| Dec 31, 2022 | 63.25 Mn |
| Sep 30, 2022 | 56.87 Mn |
| Jun 30, 2022 | 55.88 Mn |
| Mar 31, 2022 | 53.97 Mn |
| Dec 31, 2021 | 51.00 Mn |
| Sep 30, 2021 | 45.45 Mn |
API Access
Doximity 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=DOCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();