Doximity (DOCS) Non-Current Assets (2021 - 2026)
Doximity's Non-Current Assets was $169.87 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 0.2% from $170.22 million a year earlier and down 5.3% from the prior quarter.
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Analysis
Doximity (DOCS) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Non-Current Assets at Doximity came in at $179.42 million, up 2.1% from FY2025.
- Non-Current Assets has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 33.5% (FY2021 to FY2026).
- In earlier fiscal years, Non-Current Assets was $175.69 million in FY2025 (+5.6%), $166.43 million in FY2024 (+3.1%), $161.44 million in FY2023 (+85.1%) and $87.22 million in FY2022 (+106.1%).
- Quarterly Non-Current Assets has moved between $39.65 million (fiscal Q2 2022) and $180.43 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Non-Current Assets was higher in five of the last eight quarters, with growth averaging 1.8%.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q2 2023 (growth of 355.1%); the worst was fiscal Q2 2024 (a decline of 9.8%).
- Per Business Quant data, DOCS's Non-Current Assets in the three fiscal quarters before Q1 2027 was $179.42 million (Q4 2026), $163.57 million (Q3 2026) and $164.91 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | Doximity | 4.71 Bn | 1.66 Bn | 132.93 Mn | 169.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 169.87 Mn |
| Mar 31, 2026 | 179.42 Mn |
| Dec 31, 2025 | 163.57 Mn |
| Sep 30, 2025 | 164.91 Mn |
| Jun 30, 2025 | 170.22 Mn |
| Mar 31, 2025 | 175.69 Mn |
| Dec 31, 2024 | 159.45 Mn |
| Sep 30, 2024 | 160.80 Mn |
| Jun 30, 2024 | 164.99 Mn |
| Mar 31, 2024 | 166.43 Mn |
| Dec 31, 2023 | 159.75 Mn |
| Sep 30, 2023 | 162.75 Mn |
| Jun 30, 2023 | 163.85 Mn |
| Mar 31, 2023 | 161.44 Mn |
| Dec 31, 2022 | 168.57 Mn |
| Sep 30, 2022 | 180.43 Mn |
| Jun 30, 2022 | 176.79 Mn |
| Mar 31, 2022 | 87.22 Mn |
| Dec 31, 2021 | 73.79 Mn |
| Sep 30, 2021 | 39.65 Mn |
API Access
Doximity Non-Current Assets 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=non-current-assets&ticker=DOCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();