DocGo (DCGO) Non-Current Assets (2020 - 2026)
DocGo (DCGO) posted Non-Current Assets of $67.02 million for Q2 2026, down 61.0% from $171.69 million a year earlier and down 5.7% from the prior quarter.
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Analysis
DocGo (DCGO) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, DocGo's Non-Current Assets came in at $64.7 million, down 57.2% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- In prior years, DocGo's Non-Current Assets was $151.13 million in FY2024 (-0.3%), $151.58 million in FY2023 (+24.0%), $122.2 million in FY2022 (+128.1%) and $53.57 million in FY2021 (+28.3%).
- Quarterly Non-Current Assets has run from a low of $5,237 in Q2 2023 to a high of $171.69 million in Q2 2025 over five years.
- On a year-over-year basis, Non-Current Assets has declined in each of the last four quarters, with an average decline of 23.1% over the last seven quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q1 2023, with growth of 161.6%; the weakest was Q2 2023, with a decline of 100.0%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $71.06 million (Q1 2026), $64.7 million (Q4 2025) and $163.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | 46.06 Bn |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 998.55 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 14.10 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 14.72 Bn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 547.66 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | 22.85 Bn |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 14.60 Mn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 6.42 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 13.52 Bn |
| 10 | DocGo | 36.58 Mn | -171.98 Mn | 22.41 Mn | 67.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.02 Mn |
| Mar 31, 2026 | 71.06 Mn |
| Dec 31, 2025 | 64.70 Mn |
| Sep 30, 2025 | 163.56 Mn |
| Jun 30, 2025 | 171.69 Mn |
| Mar 31, 2025 | 168.26 Mn |
| Dec 31, 2024 | 151.13 Mn |
| Sep 30, 2024 | 165.56 Mn |
| Jun 30, 2024 | 159.46 Mn |
| Mar 31, 2024 | 155.55 Mn |
| Dec 31, 2023 | 151.58 Mn |
| Sep 30, 2023 | 15,248.00 |
| Jun 30, 2023 | 5,237.00 |
| Mar 31, 2023 | 149.15 Mn |
| Dec 31, 2022 | 122.20 Mn |
| Sep 30, 2022 | 103.93 Mn |
| Jun 30, 2022 | 56.18 Mn |
| Mar 31, 2022 | 57.03 Mn |
| Dec 31, 2021 | 53.57 Mn |
| Sep 30, 2021 | 143.79 Mn |
API Access
DocGo Non-Current Assets 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=non-current-assets&ticker=DCGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DCGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();