Doximity (DOCS) Return on Sales [ROS] (2020 - 2026)
Doximity (DOCS) posted Return on Sales [ROS] of 21.48% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 15.88 percentage points from 37.36% a year earlier but up 4.40 percentage points from the prior quarter.
Doximity (DOCS) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Doximity was 29.60%, down 10.47 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 33.33%, down 6.61 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of +7.56 percentage points (FY2021 to FY2026).
- In prior fiscal years, Doximity's Return on Sales [ROS] was 39.94% in FY2025 (+5.47 pp), 34.47% in FY2024 (+4.62 pp), 29.86% in FY2023 (-3.19 pp) and 33.05% in FY2022 (+7.29 pp).
- Quarterly Return on Sales [ROS] has run from a low of 17.08% in fiscal Q4 2026 to a high of 47.40% in fiscal Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last four quarters, with an average year-over-year change of -3.70 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q3 2024, with a gain of 9.89 percentage points; the weakest was fiscal Q4 2026, with a drop of 18.12 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 17.08% (Q4 2026), 38.85% (Q3 2026) and 37.79% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 27.75% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 11.37% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.22% |
| 10 | Doximity | 4.71 Bn | 1.66 Bn | 132.93 Mn | 21.48% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.48% |
| Mar 31, 2026 | 17.08% |
| Dec 31, 2025 | 38.85% |
| Sep 30, 2025 | 37.79% |
| Jun 30, 2025 | 37.36% |
| Mar 31, 2025 | 35.20% |
| Dec 31, 2024 | 47.40% |
| Sep 30, 2024 | 38.84% |
| Jun 30, 2024 | 36.35% |
| Mar 31, 2024 | 35.45% |
| Dec 31, 2023 | 43.28% |
| Sep 30, 2023 | 29.74% |
| Jun 30, 2023 | 27.37% |
| Mar 31, 2023 | 29.60% |
| Dec 31, 2022 | 33.39% |
| Sep 30, 2022 | 31.41% |
| Jun 30, 2022 | 23.92% |
| Mar 31, 2022 | 29.81% |
| Dec 31, 2021 | 36.57% |
| Sep 30, 2021 | 31.44% |
Doximity Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DOCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();