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.
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Analysis
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 Set
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 | 44.24 Bn | 16.49 Bn | 695.95 Mn | 232.01 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 115.86 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 1.39 Bn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 109.58 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 81.71 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 297.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 129.46 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 197.00 Mn |
| 10 | Doximity | 5.02 Bn | 1.97 Bn | 132.93 Mn | 23.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 8.95 Mn |
API Access
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_KEYimport 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();