Delta Air Lines (DAL) Operating Expenses (2009 - 2026)
Delta Air Lines (DAL) recorded Operating Expenses of $17.89 billion in Q2 2026, up 23.0% from $14.55 billion a year earlier and up 16.5% from the prior quarter.
Delta Air Lines (DAL) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Delta Air Lines' Operating Expenses came in at $62.77 billion as of Jun 30, 2026, up 11.8% year-over-year; for FY2025, it came in at $57.54 billion, up 3.4% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $55.65 billion in FY2024 (+5.9%), $52.53 billion in FY2023 (+11.9%), $46.92 billion in FY2022 (+67.5%) and $28.01 billion in FY2021 (-5.2%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Operating Expenses has increased for 19 consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 95.0% in Q2 2022, against a decline of 26.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.35 billion (Q1 2026), $14.54 billion (Q4 2025) and $14.99 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 167.50 Bn | 162.03 Bn | - | 4.10 Bn |
| 2 | Csx | 88.57 Bn | 84.77 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 80.55 Bn | 57.44 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 75.98 Bn | 75.00 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 72.12 Bn | 66.76 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.77 Bn | 34.71 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 38.02 Bn | 37.28 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 33.53 Bn | -22.84 Bn | - | 16.58 Bn |
| 10 | Ryanair Holdings | 27.89 Bn | 11.53 Bn | - | 4.43 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.73 Bn |
| Jun 30, 2026 | 17.89 Bn |
| Mar 31, 2026 | 15.35 Bn |
| Dec 31, 2025 | 14.54 Bn |
| Sep 30, 2025 | 14.99 Bn |
| Jun 30, 2025 | 14.55 Bn |
| Mar 31, 2025 | 13.47 Bn |
| Dec 31, 2024 | 13.84 Bn |
| Sep 30, 2024 | 14.28 Bn |
| Jun 30, 2024 | 14.39 Bn |
| Mar 31, 2024 | 13.13 Bn |
| Dec 31, 2023 | 12.90 Bn |
| Sep 30, 2023 | 13.50 Bn |
| Jun 30, 2023 | 13.09 Bn |
| Mar 31, 2023 | 13.04 Bn |
| Dec 31, 2022 | 11.97 Bn |
| Sep 30, 2022 | 12.52 Bn |
| Jun 30, 2022 | 12.31 Bn |
| Mar 31, 2022 | 10.13 Bn |
| Dec 31, 2021 | 9.21 Bn |
Delta Air Lines 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=DAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DAL", "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=DAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();