Doximity (DOCS) Total Non-Current Liabilities (2021 - 2026)
Doximity's Total Non-Current Liabilities came in at $157.93 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 6.9% from $169.7 million a year earlier and down 3.4% from the prior quarter.
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Analysis
Doximity (DOCS) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Doximity's Total Non-Current Liabilities was $163.45 million, down 4.0% from FY2025.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $170.19 million in FY2025 (+1.9%), $167.08 million in FY2024 (+7.9%), $154.83 million in FY2023 (+38.5%) and $111.81 million in FY2022 (-39.2%).
- The five-year range for quarterly Total Non-Current Liabilities is $92.42 million (fiscal Q3 2022) to $170.19 million (fiscal Q4 2025).
- Year-over-year, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 4.0%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q2 2023 (growth of 39.8%), and the weakest in fiscal Q4 2022 (a decline of 39.2%).
- Business Quant data shows DOCS's Total Non-Current Liabilities at $163.45 million (Q4 2026), $158.64 million (Q3 2026) and $149.68 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 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 | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Doximity | 4.71 Bn | 1.66 Bn | 132.93 Mn | 157.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.93 Mn |
| Mar 31, 2026 | 163.45 Mn |
| Dec 31, 2025 | 158.64 Mn |
| Sep 30, 2025 | 149.68 Mn |
| Jun 30, 2025 | 169.70 Mn |
| Mar 31, 2025 | 170.19 Mn |
| Dec 31, 2024 | 132.14 Mn |
| Sep 30, 2024 | 149.17 Mn |
| Jun 30, 2024 | 152.58 Mn |
| Mar 31, 2024 | 167.08 Mn |
| Dec 31, 2023 | 125.25 Mn |
| Sep 30, 2023 | 143.66 Mn |
| Jun 30, 2023 | 152.27 Mn |
| Mar 31, 2023 | 154.83 Mn |
| Dec 31, 2022 | 121.29 Mn |
| Sep 30, 2022 | 133.96 Mn |
| Jun 30, 2022 | 133.10 Mn |
| Mar 31, 2022 | 111.81 Mn |
| Dec 31, 2021 | 92.42 Mn |
| Sep 30, 2021 | 95.79 Mn |
API Access
Doximity Total Non-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-non-current-liabilities&ticker=DOCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=DOCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();