Agilon Health (AGL) Operating Expenses (2020 - 2026)
Agilon Health (AGL) recorded Operating Expenses of $1.48 billion in Q2 2026, down 1.9% from $1.51 billion a year earlier but up 4.7% from the prior quarter.
Agilon Health (AGL) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Agilon Health's Operating Expenses came in at $6.23 billion as of Jun 30, 2026, down 0.8% year-over-year; for FY2025, it came in at $6.4 billion, up 0.7% from FY2024.
- Annual Operating Expenses has increased for six straight years, with a five-year compound annual growth rate of 38.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $6.35 billion in FY2024 (+39.7%), $4.55 billion in FY2023 (+82.4%), $2.49 billion in FY2022 (+31.7%) and $1.89 billion in FY2021 (+48.5%).
- Quarterly Operating Expenses has ranged from $176.98 million in Q4 2021 to $1.76 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with growth averaging 7.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 187.9% in Q4 2023, against a decline of 50.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.42 billion (Q1 2026), $1.76 billion (Q4 2025) and $1.57 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 341.92 Bn | 226.55 Bn | 36.67 Bn | 104.04 Bn |
| 2 | Cvs Health | 112.26 Bn | 64.87 Bn | 47.23 Bn | 101.39 Bn |
| 3 | Mckesson | 99.84 Bn | 86.30 Bn | 3.69 Bn | 2.37 Bn |
| 4 | Elevance Health | 85.53 Bn | -56.21 Bn | 13.45 Bn | 48.54 Bn |
| 5 | Cigna | 71.85 Bn | 41.39 Bn | 14.97 Bn | 68.99 Bn |
| 6 | Cencora | 57.95 Bn | 47.04 Bn | 3.61 Bn | 2.28 Bn |
| 7 | Cardinal Health | 51.09 Bn | 35.09 Bn | 2.56 Bn | 1.67 Bn |
| 8 | Humana | 46.78 Bn | -41.02 Bn | 5.50 Bn | 39.51 Bn |
| 9 | Centene | 30.87 Bn | -59.41 Bn | 14.55 Bn | 52.38 Bn |
| 10 | Agilon Health | 1.34 Bn | 322.38 Mn | 107.14 Mn | 1.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.48 Bn |
| Mar 31, 2026 | 1.42 Bn |
| Dec 31, 2025 | 1.76 Bn |
| Sep 30, 2025 | 1.57 Bn |
| Jun 30, 2025 | 1.51 Bn |
| Mar 31, 2025 | 1.55 Bn |
| Dec 31, 2024 | 1.63 Bn |
| Sep 30, 2024 | 1.58 Bn |
| Jun 30, 2024 | 1.53 Bn |
| Mar 31, 2024 | 1.61 Bn |
| Dec 31, 2023 | 1.22 Bn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 1.10 Bn |
| Mar 31, 2023 | 1.05 Bn |
| Dec 31, 2022 | 423.85 Mn |
| Sep 30, 2022 | 724.38 Mn |
| Jun 30, 2022 | 691.19 Mn |
| Mar 31, 2022 | 654.19 Mn |
| Dec 31, 2021 | 176.98 Mn |
| Sep 30, 2021 | 494.21 Mn |
Agilon Health 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=AGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AGL", "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=AGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();