Doximity (DOCS) Cash & Equivalents (2021 - 2026)
Doximity's Cash & Equivalents was $273.6 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 99.3% from $137.26 million a year earlier and up 24.8% from the prior quarter.
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Analysis
Doximity (DOCS) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cash & Equivalents at Doximity came in at $219.18 million, up 4.6% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of 27.0% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $209.61 million in FY2025 (+116.6%), $96.79 million in FY2024 (-38.8%), $158.03 million in FY2023 (+40.1%) and $112.81 million in FY2022 (+69.9%).
- The fiscal Q1 2027 figure marks the highest quarterly Cash & Equivalents since fiscal Q1 2024.
- Compared with a year earlier, Cash & Equivalents was higher in six of the last eight quarters, with growth averaging 34.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q1 2024 (growth of 178.6%); the worst was fiscal Q1 2023 (a decline of 81.5%).
- Per Business Quant data, DOCS's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $219.18 million (Q4 2026), $64.84 million (Q3 2026) and $169.25 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Doximity | 5.10 Bn | 2.05 Bn | 132.93 Mn | 273.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 273.60 Mn |
| Mar 31, 2026 | 219.18 Mn |
| Dec 31, 2025 | 64.84 Mn |
| Sep 30, 2025 | 169.25 Mn |
| Jun 30, 2025 | 137.26 Mn |
| Mar 31, 2025 | 209.61 Mn |
| Dec 31, 2024 | 165.27 Mn |
| Sep 30, 2024 | 184.25 Mn |
| Jun 30, 2024 | 111.44 Mn |
| Mar 31, 2024 | 96.79 Mn |
| Dec 31, 2023 | 123.09 Mn |
| Sep 30, 2023 | 108.40 Mn |
| Jun 30, 2023 | 306.73 Mn |
| Mar 31, 2023 | 158.03 Mn |
| Dec 31, 2022 | 136.45 Mn |
| Sep 30, 2022 | 73.67 Mn |
| Jun 30, 2022 | 110.09 Mn |
| Mar 31, 2022 | 112.81 Mn |
| Dec 31, 2021 | 85.08 Mn |
| Sep 30, 2021 | 79.52 Mn |
API Access
Doximity Cash & Equivalents 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=cash-and-equivalents&ticker=DOCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();