Doximity (DOCS) EBITDA (2020 - 2026)
Doximity (DOCS) reported EBITDA of $42.23 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 31.0% from $61.21 million a year earlier but up 27.4% from the prior quarter.
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Analysis
Doximity (DOCS) EBITDA (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Doximity's EBITDA came in at $223.82 million, down 13.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $242.8 million, down 2.3% from FY2025.
- EBITDA has a five-year compound annual growth rate of 30.6% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $248.46 million in FY2025 (+35.7%), $183.04 million in FY2024 (+26.9%), $144.19 million in FY2023 (+12.3%) and $128.38 million in FY2022 (+100.9%).
- Five-year quarterly EBITDA spans a low of $26.85 million in fiscal Q1 2023 and a high of $84.28 million in fiscal Q3 2025.
- Year over year, EBITDA has now declined in each of the last three quarters, with growth averaging 8.1% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q2 2022 (growth of 120.7%); the low point was fiscal Q4 2026 (a decline of 39.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $33.16 million (Q4 2026), $78.39 million (Q3 2026) and $70.05 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Doximity | 4.71 Bn | 1.66 Bn | 132.93 Mn | 42.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.23 Mn |
| Mar 31, 2026 | 33.16 Mn |
| Dec 31, 2025 | 78.39 Mn |
| Sep 30, 2025 | 70.05 Mn |
| Jun 30, 2025 | 61.21 Mn |
| Mar 31, 2025 | 54.97 Mn |
| Dec 31, 2024 | 84.28 Mn |
| Sep 30, 2024 | 57.86 Mn |
| Jun 30, 2024 | 51.34 Mn |
| Mar 31, 2024 | 47.00 Mn |
| Dec 31, 2023 | 62.66 Mn |
| Sep 30, 2023 | 38.40 Mn |
| Jun 30, 2023 | 34.95 Mn |
| Mar 31, 2023 | 37.95 Mn |
| Dec 31, 2022 | 42.60 Mn |
| Sep 30, 2022 | 36.79 Mn |
| Jun 30, 2022 | 26.85 Mn |
| Mar 31, 2022 | 31.69 Mn |
| Dec 31, 2021 | 38.85 Mn |
| Sep 30, 2021 | 28.61 Mn |
API Access
Doximity EBITDA 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=ebitda&ticker=DOCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();