Doximity (DOCS) Total Current Liabilities (2021 - 2026)
Doximity (DOCS) posted Total Current Liabilities of $150.36 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 6.0% from $159.91 million a year earlier and down 3.0% from the prior quarter.
Doximity (DOCS) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Doximity's Total Current Liabilities came in at $154.97 million, down 0.8% from FY2025.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 8.7% (FY2021 to FY2026).
- In prior fiscal years, Doximity's Total Current Liabilities was $156.26 million in FY2025 (+6.1%), $147.25 million in FY2024 (+5.6%), $139.51 million in FY2023 (+25.4%) and $111.28 million in FY2022 (+9.1%).
- Quarterly Total Current Liabilities has run from a low of $91.71 million in fiscal Q3 2022 to a high of $159.91 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 8.9%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q3 2026, with growth of 29.3%; the weakest was fiscal Q1 2027, with a decline of 6.0%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $154.97 million (Q4 2026), $149.85 million (Q3 2026) and $140.27 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | Doximity | 4.71 Bn | 1.66 Bn | 132.93 Mn | 150.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.36 Mn |
| Mar 31, 2026 | 154.97 Mn |
| Dec 31, 2025 | 149.85 Mn |
| Sep 30, 2025 | 140.27 Mn |
| Jun 30, 2025 | 159.91 Mn |
| Mar 31, 2025 | 156.26 Mn |
| Dec 31, 2024 | 115.88 Mn |
| Sep 30, 2024 | 132.28 Mn |
| Jun 30, 2024 | 135.28 Mn |
| Mar 31, 2024 | 147.25 Mn |
| Dec 31, 2023 | 104.76 Mn |
| Sep 30, 2023 | 123.18 Mn |
| Jun 30, 2023 | 132.69 Mn |
| Mar 31, 2023 | 139.51 Mn |
| Dec 31, 2022 | 105.88 Mn |
| Sep 30, 2022 | 118.14 Mn |
| Jun 30, 2022 | 120.75 Mn |
| Mar 31, 2022 | 111.28 Mn |
| Dec 31, 2021 | 91.71 Mn |
| Sep 30, 2021 | 95.62 Mn |
Doximity Total Current Liabilities 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=total-current-liabilities&ticker=DOCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();