Doximity (DOCS) Total Liabilities (2021 - 2026)
Doximity's Total Liabilities was $167.78 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 6.2% from $178.85 million a year earlier and down 2.9% from the prior quarter.
Powered by 
Analysis
Doximity (DOCS) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Liabilities at Doximity came in at $172.85 million, down 4.9% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $181.68 million in FY2025 (+2.1%), $177.98 million in FY2024 (+4.2%), $170.77 million in FY2023 (+51.4%) and $112.76 million in FY2022 (-39.0%).
- Quarterly Total Liabilities has moved between $93.32 million (fiscal Q3 2022) and $181.68 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Total Liabilities was higher in six of the last eight quarters, with growth averaging 4.7%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2023 (growth of 54.5%); the worst was fiscal Q4 2022 (a decline of 39.0%).
- Per Business Quant data, DOCS's Total Liabilities in the three fiscal quarters before Q1 2027 was $172.85 million (Q4 2026), $177.73 million (Q3 2026) and $161.58 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Doximity | 4.71 Bn | 1.66 Bn | 132.93 Mn | 167.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.78 Mn |
| Mar 31, 2026 | 172.85 Mn |
| Dec 31, 2025 | 177.73 Mn |
| Sep 30, 2025 | 161.58 Mn |
| Jun 30, 2025 | 178.85 Mn |
| Mar 31, 2025 | 181.68 Mn |
| Dec 31, 2024 | 141.04 Mn |
| Sep 30, 2024 | 157.32 Mn |
| Jun 30, 2024 | 159.88 Mn |
| Mar 31, 2024 | 177.98 Mn |
| Dec 31, 2023 | 136.04 Mn |
| Sep 30, 2023 | 154.10 Mn |
| Jun 30, 2023 | 162.72 Mn |
| Mar 31, 2023 | 170.77 Mn |
| Dec 31, 2022 | 136.91 Mn |
| Sep 30, 2022 | 149.38 Mn |
| Jun 30, 2022 | 148.77 Mn |
| Mar 31, 2022 | 112.76 Mn |
| Dec 31, 2021 | 93.32 Mn |
| Sep 30, 2021 | 96.70 Mn |
API Access
Doximity Total 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-liabilities&ticker=DOCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();