Doximity (DOCS) Other Operating Expenses (2020 - 2026)
Doximity (DOCS) reported Other Operating Expenses of $45.05 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 23.9% from $36.37 million a year earlier but down 1.9% from the prior quarter.
Doximity (DOCS) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Doximity's Other Operating Expenses came in at $172.33 million, up 17.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $163.65 million, up 12.3% from FY2025.
- Other Operating Expenses has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 21.4% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at $145.71 million in FY2025 (+9.5%), $133.13 million in FY2024 (+7.8%), $123.52 million in FY2023 (+34.1%) and $92.13 million in FY2022 (+48.5%).
- Five-year quarterly Other Operating Expenses spans a low of $21.16 million in fiscal Q2 2022 and a high of $45.91 million in fiscal Q4 2026.
- Year over year, Other Operating Expenses has now increased in each of the last 21 quarters, with growth averaging 13.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 1.1% (fiscal Q4 2024) to 51.0% (fiscal Q3 2022).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $45.91 million (Q4 2026), $42.21 million (Q3 2026) and $39.17 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Doximity | 4.71 Bn | 1.66 Bn | 132.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.05 Mn |
| Mar 31, 2026 | 45.91 Mn |
| Dec 31, 2025 | 42.21 Mn |
| Sep 30, 2025 | 39.17 Mn |
| Jun 30, 2025 | 36.37 Mn |
| Mar 31, 2025 | 37.61 Mn |
| Dec 31, 2024 | 38.49 Mn |
| Sep 30, 2024 | 34.37 Mn |
| Jun 30, 2024 | 35.24 Mn |
| Mar 31, 2024 | 33.52 Mn |
| Dec 31, 2023 | 34.96 Mn |
| Sep 30, 2023 | 30.24 Mn |
| Jun 30, 2023 | 34.46 Mn |
| Mar 31, 2023 | 33.15 Mn |
| Dec 31, 2022 | 33.22 Mn |
| Sep 30, 2022 | 29.02 Mn |
| Jun 30, 2022 | 28.13 Mn |
| Mar 31, 2022 | 25.90 Mn |
| Dec 31, 2021 | 25.70 Mn |
| Sep 30, 2021 | 21.16 Mn |
Doximity Other 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=other-operating-expenses&ticker=DOCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();