Doximity (DOCS) Cost of Revenue (2020 - 2026)
Doximity's Cost of Revenue came in at $23.69 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 50.0% from $15.79 million a year earlier and up 22.1% from the prior quarter.
Doximity (DOCS) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Doximity reported Cost of Revenue of $78.23 million, up 34.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $70.33 million, up 25.9% from FY2025.
- Cost of Revenue carries a five-year compound annual growth rate of 17.7% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $55.87 million in FY2025 (+10.3%), $50.67 million in FY2024 (-5.3%), $53.49 million in FY2023 (+34.4%) and $39.79 million in FY2022 (+27.5%).
- The fiscal Q1 2027 figure represents the highest quarterly Cost of Revenue in data going back to fiscal Q1 2021.
- Year-over-year, Cost of Revenue has increased for nine consecutive quarters, with growth averaging 23.9% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q1 2023 (growth of 63.7%), and the weakest in fiscal Q3 2024 (a decline of 9.9%).
- Business Quant data shows DOCS's Cost of Revenue at $19.41 million (Q4 2026), $18.7 million (Q3 2026) and $16.43 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 232.01 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 115.86 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 109.58 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.44 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 131.89 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 71.96 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 307.70 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 211.00 Mn |
| 10 | Doximity | 5.81 Bn | 2.92 Bn | 149.19 Mn | 25.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.35 Mn |
| Jun 30, 2026 | 23.69 Mn |
| Mar 31, 2026 | 19.41 Mn |
| Dec 31, 2025 | 18.70 Mn |
| Sep 30, 2025 | 16.43 Mn |
| Jun 30, 2025 | 15.79 Mn |
| Mar 31, 2025 | 14.47 Mn |
| Dec 31, 2024 | 14.18 Mn |
| Sep 30, 2024 | 13.68 Mn |
| Jun 30, 2024 | 13.55 Mn |
| Mar 31, 2024 | 12.57 Mn |
| Dec 31, 2023 | 12.19 Mn |
| Sep 30, 2023 | 12.76 Mn |
| Jun 30, 2023 | 13.15 Mn |
| Mar 31, 2023 | 13.68 Mn |
| Dec 31, 2022 | 13.53 Mn |
| Sep 30, 2022 | 13.21 Mn |
| Jun 30, 2022 | 13.08 Mn |
| Mar 31, 2022 | 11.77 Mn |
| Dec 31, 2021 | 11.09 Mn |
Doximity Cost of Revenue 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=cost-of-revenue&ticker=DOCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();