DocGo (DCGO) Total Non-Current Liabilities (2020 - 2026)
DocGo's Total Non-Current Liabilities came in at $65.29 million for Q2 2026, down 43.5% from $115.59 million a year earlier and down 31.7% from the prior quarter.
DocGo (DCGO) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, DocGo's Total Non-Current Liabilities was $68.31 million, down 51.4% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $140.44 million in FY2024 (-15.1%), $165.49 million in FY2023 (+59.4%), $103.79 million in FY2022 (+50.4%) and $69.03 million in FY2021 (+185.4%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q2 2021.
- Year-over-year, Total Non-Current Liabilities has declined for seven consecutive quarters, with an average decline of 22.0% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 185.4%), and the weakest in Q4 2025 (a decline of 51.4%).
- Business Quant data shows DCGO's Total Non-Current Liabilities at $95.54 million (Q1 2026), $68.31 million (Q4 2025) and $78.94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | - |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 715.49 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 8.06 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 9.21 Bn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 2.01 Bn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | 22.34 Bn |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 1.86 Bn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 3.84 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 18.38 Bn |
| 10 | DocGo | 36.58 Mn | -171.98 Mn | 22.41 Mn | 65.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.29 Mn |
| Mar 31, 2026 | 95.54 Mn |
| Dec 31, 2025 | 68.31 Mn |
| Sep 30, 2025 | 78.94 Mn |
| Jun 30, 2025 | 115.59 Mn |
| Mar 31, 2025 | 123.92 Mn |
| Dec 31, 2024 | 140.44 Mn |
| Sep 30, 2024 | 152.23 Mn |
| Jun 30, 2024 | 151.66 Mn |
| Mar 31, 2024 | 155.83 Mn |
| Dec 31, 2023 | 165.49 Mn |
| Sep 30, 2023 | 101.99 Mn |
| Jun 30, 2023 | 79.94 Mn |
| Mar 31, 2023 | 107.80 Mn |
| Dec 31, 2022 | 103.79 Mn |
| Jun 30, 2022 | 66.91 Mn |
| Mar 31, 2022 | 71.35 Mn |
| Dec 31, 2021 | 69.03 Mn |
| Sep 30, 2021 | 68.42 Mn |
| Jun 30, 2021 | 47.39 Mn |
DocGo 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=DCGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DCGO", "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=DCGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();