Global Business Travel (GBTG) Operating Expenses (2020 - 2026)
Global Business Travel (GBTG) posted Operating Expenses of $846 million for Q2 2026, up 41.7% from $597 million a year earlier and up 1.1% from the prior quarter.
Global Business Travel (GBTG) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Global Business Travel was $3.11 billion, up 35.5% year-over-year; for FY2025, it came in at $2.59 billion, up 12.1% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In prior years, Global Business Travel's Operating Expenses was $2.31 billion in FY2024 (+0.4%), $2.3 billion in FY2023 (+12.2%), $2.05 billion in FY2022 (+54.9%) and $1.32 billion in FY2021 (-14.1%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2020.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 17.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 89.1%; the weakest was Q4 2021, with a decline of 68.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $837 million (Q1 2026), $763 million (Q4 2025) and $662 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Marriott International | 92.75 Bn | 90.79 Bn | 1.55 Bn | 5.84 Bn |
| 2 | Hilton Worldwide Holdings | 71.81 Bn | 68.29 Bn | 3.08 Bn | 2.48 Bn |
| 3 | Royal Caribbean Cruises | 71.17 Bn | 68.75 Bn | 2.29 Bn | 513.00 Mn |
| 4 | Viking Holdings | 35.31 Bn | 20.44 Bn | 996.62 Mn | -268.67 Mn |
| 5 | Carnival | 33.05 Bn | 26.25 Bn | - | 4.63 Bn |
| 6 | Intercontinental Hotels | 26.49 Bn | 22.05 Bn | - | - |
| 7 | Trip.com | 25.40 Bn | -20.15 Bn | 1.84 Bn | -1.49 Bn |
| 8 | Hyatt Hotels | 14.95 Bn | 12.43 Bn | 388.00 Mn | 1.70 Bn |
| 9 | H World | 13.15 Bn | 4.07 Bn | - | -753.00 Mn |
| 10 | Global Business Travel | 4.96 Bn | 3.19 Bn | 514.00 Mn | 846.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 846.00 Mn |
| Mar 31, 2026 | 837.00 Mn |
| Dec 31, 2025 | 763.00 Mn |
| Sep 30, 2025 | 662.00 Mn |
| Jun 30, 2025 | 597.00 Mn |
| Mar 31, 2025 | 566.00 Mn |
| Dec 31, 2024 | 561.00 Mn |
| Sep 30, 2024 | 570.00 Mn |
| Jun 30, 2024 | 583.00 Mn |
| Mar 31, 2024 | 594.00 Mn |
| Dec 31, 2023 | 546.00 Mn |
| Sep 30, 2023 | 575.00 Mn |
| Jun 30, 2023 | 590.00 Mn |
| Mar 31, 2023 | 587.00 Mn |
| Dec 31, 2022 | 565.00 Mn |
| Sep 30, 2022 | 533.00 Mn |
| Jun 30, 2022 | 505.00 Mn |
| Mar 31, 2022 | 446.00 Mn |
| Dec 31, 2021 | 480.00 Mn |
| Sep 30, 2021 | 321.00 Mn |
Global Business Travel 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=GBTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GBTG", "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=GBTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();