Doximity (DOCS) Tax Provisions (2020 - 2026)
Doximity (DOCS) reported Tax Provisions of $16.05 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 48.2% from $10.83 million a year earlier and up 23.4% from the prior quarter.
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Analysis
Doximity (DOCS) Tax Provisions (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Doximity's Tax Provisions came in at $59.18 million, up 50.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $53.95 million, up 33.6% from FY2025.
- Tax Provisions has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 48.2% (FY2021 to FY2026).
- By fiscal year, Tax Provisions came in at $40.39 million in FY2025 (+7.4%), $37.62 million in FY2024 (+85.0%), $20.34 million in FY2023 and -$40.78 million in FY2022.
- Five-year quarterly Tax Provisions spans a low of -$19.84 million in fiscal Q3 2022 and a high of $19.24 million in fiscal Q3 2026.
- Year over year, Tax Provisions gained in three of the last six quarters, with growth averaging 21.2%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q3 2024 (growth of 101.6%); the low point was fiscal Q2 2026 (a decline of 39.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $13.01 million (Q4 2026), $19.24 million (Q3 2026) and $10.88 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 76.10 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.30 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 8.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 33.66 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 26.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 12.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 16.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 19.00 Mn |
| 10 | Doximity | 4.71 Bn | 1.66 Bn | 132.93 Mn | 16.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.05 Mn |
| Mar 31, 2026 | 13.01 Mn |
| Dec 31, 2025 | 19.24 Mn |
| Sep 30, 2025 | 10.88 Mn |
| Jun 30, 2025 | 10.83 Mn |
| Mar 31, 2025 | -4.06 Mn |
| Dec 31, 2024 | 14.64 Mn |
| Sep 30, 2024 | 18.02 Mn |
| Jun 30, 2024 | 11.79 Mn |
| Mar 31, 2024 | 7.34 Mn |
| Dec 31, 2023 | 15.08 Mn |
| Sep 30, 2023 | 9.09 Mn |
| Jun 30, 2023 | 6.12 Mn |
| Mar 31, 2023 | 6.05 Mn |
| Dec 31, 2022 | 7.48 Mn |
| Sep 30, 2022 | 6.71 Mn |
| Jun 30, 2022 | 103,000.00 |
| Mar 31, 2022 | -8.82 Mn |
| Dec 31, 2021 | -19.84 Mn |
| Sep 30, 2021 | -10.72 Mn |
API Access
Doximity Tax Provisions 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=tax-provisions&ticker=DOCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();