AdaptHealth (AHCO) EBITDA (2019 - 2026)
AdaptHealth's EBITDA was -$34.19 million in Q3 2026, compared with $144.94 million a year earlier.
AdaptHealth (AHCO) EBITDA (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, AdaptHealth's EBITDA was $140.64 million through Sep 30, 2026, down 77.3% year-over-year; for FY2025, it came in at $488.14 million, down 23.7% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- In earlier years, EBITDA was $640.17 million in FY2024, -$209.68 million in FY2023, $546.82 million in FY2022 (+2.1%) and $535.56 million in FY2021 (+231.2%).
- The Q3 2026 figure marks the lowest quarterly EBITDA since Q4 2023.
- Compared with a year earlier, EBITDA was higher in 1 of the last five quarters, with an average decline of 16.1%.
- The best year-over-year quarter for EBITDA over five years was Q4 2021 (growth of 168.4%); the worst was Q4 2025 (a decline of 63.3%).
- Per Business Quant data, AHCO's EBITDA in the three quarters before Q3 2026 was -$12.47 million (Q2 2026), $117 million (Q1 2026) and $70.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 108.20 Bn | 104.30 Bn | - | 3.94 Bn |
| 2 | Natera | 46.17 Bn | 41.80 Bn | 513.47 Mn | -46.36 Mn |
| 3 | Labcorp Holdings | 29.69 Bn | 27.77 Bn | 1.11 Bn | 585.10 Mn |
| 4 | Quest Diagnostics | 28.14 Bn | 25.91 Bn | 1.04 Bn | 626.00 Mn |
| 5 | Tenet Healthcare | 23.04 Bn | 12.35 Bn | - | 1.97 Bn |
| 6 | Guardant Health | 21.32 Bn | 16.94 Bn | 236.15 Mn | -122.59 Mn |
| 7 | Tempus AI | 14.79 Bn | 11.95 Bn | 266.70 Mn | - |
| 8 | BrightSpring Health Services | 14.35 Bn | 12.11 Bn | 518.55 Mn | 201.41 Mn |
| 9 | Encompass Health | 13.83 Bn | 13.46 Bn | - | 385.70 Mn |
| 10 | AdaptHealth | 991.60 Mn | 713.52 Mn | 114.81 Mn | -34.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -34.19 Mn |
| Jun 30, 2026 | -12.47 Mn |
| Mar 31, 2026 | 117.00 Mn |
| Dec 31, 2025 | 28.63 Mn |
| Sep 30, 2025 | 163.29 Mn |
| Jun 30, 2025 | 161.78 Mn |
| Mar 31, 2025 | 120.89 Mn |
| Dec 31, 2024 | 191.38 Mn |
| Sep 30, 2024 | 157.38 Mn |
| Jun 30, 2024 | 145.75 Mn |
| Mar 31, 2024 | 145.66 Mn |
| Dec 31, 2023 | -123.43 Mn |
| Sep 30, 2023 | -362.81 Mn |
| Jun 30, 2023 | 155.26 Mn |
| Mar 31, 2023 | 121.30 Mn |
| Dec 31, 2022 | 130.38 Mn |
| Sep 30, 2022 | 146.59 Mn |
| Jun 30, 2022 | 139.96 Mn |
| Mar 31, 2022 | 129.89 Mn |
| Dec 31, 2021 | 159.74 Mn |
AdaptHealth EBITDA 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=ebitda&ticker=AHCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "AHCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=AHCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();