Doximity (DOCS) Change in Receivables (2020 - 2026)
Doximity (DOCS) reported Change in Receivables of $33.33 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 149.1% from $13.38 million a year earlier.
Doximity (DOCS) Change in Receivables (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Doximity's Change in Receivables came in at $36.83 million, up 73.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $16.88 million, down 38.0% from FY2025.
- Change in Receivables has a five-year compound annual growth rate of -3.8% (FY2021 to FY2026).
- By fiscal year, Change in Receivables came in at $27.21 million in FY2025, -$3.99 million in FY2024, $26.24 million in FY2023 (-15.4%) and $31.02 million in FY2022 (+51.7%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Change in Receivables in data going back to fiscal Q1 2021.
- Year over year, Change in Receivables gained in two of the last four quarters, with growth averaging 56.1%.
- The high point for year-over-year Change in Receivables in five years was fiscal Q4 2023 (growth of 183.6%); the low point was fiscal Q4 2024 (a decline of 86.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -$11.72 million (Q4 2026), $27.61 million (Q3 2026) and -$12.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | -71.70 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 53.12 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 7.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | -22.77 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -16.30 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 5.89 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | -7.79 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | -8.00 Mn |
| 10 | Doximity | 4.71 Bn | 1.66 Bn | 132.93 Mn | 33.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.33 Mn |
| Mar 31, 2026 | -11.72 Mn |
| Dec 31, 2025 | 27.61 Mn |
| Sep 30, 2025 | -12.40 Mn |
| Jun 30, 2025 | 13.38 Mn |
| Mar 31, 2025 | -9.26 Mn |
| Dec 31, 2024 | 12.99 Mn |
| Sep 30, 2024 | 4.11 Mn |
| Jun 30, 2024 | 19.37 Mn |
| Mar 31, 2024 | 4.52 Mn |
| Dec 31, 2023 | 1.14 Mn |
| Sep 30, 2023 | 4.39 Mn |
| Jun 30, 2023 | -14.03 Mn |
| Mar 31, 2023 | 32.43 Mn |
| Dec 31, 2022 | -4.00 Mn |
| Sep 30, 2022 | 3.34 Mn |
| Jun 30, 2022 | -5.53 Mn |
| Mar 31, 2022 | 11.44 Mn |
| Dec 31, 2021 | 14.02 Mn |
| Sep 30, 2021 | 9.98 Mn |
Doximity Change in Receivables 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=change-in-receivables&ticker=DOCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();