DocGo (DCGO) Operating Expenses (2020 - 2026)
DocGo's Operating Expenses came in at $91.35 million for Q2 2026, down 6.7% from $97.9 million a year earlier and down 3.1% from the prior quarter.
Powered by 
Analysis
DocGo (DCGO) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, DocGo reported Operating Expenses of $477.91 million, up 2.8% year-over-year; for FY2025, it was $500.23 million, down 14.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 35.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $587.87 million in FY2024 (-3.5%), $609.23 million in FY2023 (+45.5%), $418.68 million in FY2022 (+38.0%) and $303.36 million in FY2021 (+178.7%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2021.
- Year-over-year, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 15.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 109.1%), and the weakest in Q1 2025 (a decline of 37.6%).
- Business Quant data shows DCGO's Operating Expenses at $94.26 million (Q1 2026), $179.52 million (Q4 2025) and $112.79 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | 17.74 Bn |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | - |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 1.31 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 2.98 Bn |
| 10 | DocGo | 36.58 Mn | -171.98 Mn | 22.41 Mn | 91.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.35 Mn |
| Mar 31, 2026 | 94.26 Mn |
| Dec 31, 2025 | 179.52 Mn |
| Sep 30, 2025 | 112.79 Mn |
| Jun 30, 2025 | 97.90 Mn |
| Mar 31, 2025 | 110.03 Mn |
| Dec 31, 2024 | 128.31 Mn |
| Sep 30, 2024 | 128.55 Mn |
| Jun 30, 2024 | 154.80 Mn |
| Mar 31, 2024 | 176.21 Mn |
| Dec 31, 2023 | 187.57 Mn |
| Sep 30, 2023 | 177.84 Mn |
| Jun 30, 2023 | 123.91 Mn |
| Mar 31, 2023 | 119.91 Mn |
| Dec 31, 2022 | 108.70 Mn |
| Sep 30, 2022 | 100.12 Mn |
| Jun 30, 2022 | 102.06 Mn |
| Mar 31, 2022 | 107.80 Mn |
| Dec 31, 2021 | 105.87 Mn |
| Sep 30, 2021 | 84.32 Mn |
API Access
DocGo Operating Expenses 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=operating-expenses&ticker=DCGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DCGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();