AdaptHealth (AHCO) EBITDA (2019 - 2026)
AdaptHealth's EBITDA was -$17.51 million in Q2 2026, compared with $158.05 million a year earlier.
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Analysis
AdaptHealth (AHCO) EBITDA (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, AdaptHealth's EBITDA was $278.13 million through Jun 30, 2026, down 55.0% year-over-year; for FY2025, it came in at $472.8 million, down 24.8% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- In earlier years, EBITDA was $629.07 million in FY2024, -$215.62 million in FY2023, $541.59 million in FY2022 (+2.2%) and $530.16 million in FY2021 (+231.8%).
- The Q2 2026 figure marks the lowest quarterly EBITDA since Q4 2023.
- Compared with a year earlier, EBITDA was higher in two of the last five quarters, with an average decline of 19.2%.
- The best year-over-year quarter for EBITDA over five years was Q3 2021 (growth of 332.0%); the worst was Q4 2025 (a decline of 87.1%).
- Per Business Quant data, AHCO's EBITDA in the three quarters before Q2 2026 was $111.96 million (Q1 2026), $24.23 million (Q4 2025) and $159.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 101.26 Bn | 97.27 Bn | - | 4.05 Bn |
| 2 | Natera | 59.79 Bn | 55.47 Bn | 485.19 Mn | -54.61 Mn |
| 3 | Quest Diagnostics | 26.59 Bn | 24.72 Bn | 1.03 Bn | 605.00 Mn |
| 4 | Labcorp Holdings | 26.41 Bn | 24.15 Bn | 1.11 Bn | 630.60 Mn |
| 5 | Tenet Healthcare | 22.63 Bn | 11.64 Bn | - | 1.72 Bn |
| 6 | Guardant Health | 22.62 Bn | 18.69 Bn | 219.03 Mn | -119.56 Mn |
| 7 | BrightSpring Health Services | 12.95 Bn | 11.28 Bn | 492.75 Mn | 174.76 Mn |
| 8 | Fresenius Medical Care AG | 12.52 Bn | 4.48 Bn | 1.52 Bn | 956.64 Mn |
| 9 | Tempus AI | 12.19 Bn | 9.22 Bn | 246.50 Mn | - |
| 10 | AdaptHealth | 824.21 Mn | 546.46 Mn | 104.21 Mn | -12.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 157.40 Mn |
API Access
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_KEYimport 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();