Grupo Aeromexico, S.A.B. de C.V (AERO) EBITDA (2024 - 2026)
Grupo Aeromexico, S.A.B. de C.V's EBITDA was $387 million in Q3 2026.
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Analysis
Grupo Aeromexico, S.A.B. de C.V (AERO) EBITDA (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Grupo Aeromexico, S.A.B. de C.V's EBITDA was $1.22 billion through Sep 30, 2026; for FY2025, it came in at $1.66 billion, down 3.7% from FY2024.
- In earlier years, EBITDA was $1.72 billion in FY2024 (+32.9%) and $1.3 billion in FY2023.
- Quarterly EBITDA has moved between $261.00 (Q2 2026) and $496.45 million (Q3 2024) over five years.
- Per Business Quant data, AERO's EBITDA in the three quarters before Q3 2026 was $261.00 (Q2 2026), $332 million (Q1 2026) and $496 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - | 3.59 Bn |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - | 1.98 Bn |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn | 2.71 Bn |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn | 1.44 Bn |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn | 2.68 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 1.51 Bn |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - | 2.13 Bn |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - | 2.22 Bn |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn | 543.07 Mn |
| 10 | Grupo Aeromexico, S.A.B. de C.V | 2.58 Bn | -1.49 Bn | - | 387.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 387.00 Mn |
| Jun 30, 2026 | 261.00 |
| Mar 31, 2026 | 332.00 Mn |
| Dec 31, 2025 | 496.00 Mn |
| Sep 30, 2025 | 437.00 Mn |
| Jun 30, 2025 | 410.00 |
| Mar 31, 2025 | 315.00 Mn |
| Dec 31, 2024 | 441.23 Mn |
| Sep 30, 2024 | 496.45 Mn |
API Access
Grupo Aeromexico, S.A.B. de C.V 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=AERO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "AERO", "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=AERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();