Sabre (SABR) Operating Expenses (2013 - 2026)
Sabre (SABR) posted Operating Expenses of $137.66 million for Q2 2026, up 6.6% from $129.17 million a year earlier and up 2.7% from the prior quarter.
Sabre (SABR) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Sabre was $569.94 million, up 3.4% year-over-year; for FY2025, it came in at $557.4 million, down 3.2% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In prior years, Sabre's Operating Expenses was $575.97 million in FY2024 (-1.2%), $582.89 million in FY2023 (-11.8%), $661.16 million in FY2022 (+8.4%) and $610.08 million in FY2021 (+4.0%).
- Quarterly Operating Expenses has run from a low of $88.66 million in Q4 2023 to a high of $179.06 million in Q2 2023 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 60.7%; the weakest was Q4 2023, with a decline of 38.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $134.01 million (Q1 2026), $157.81 million (Q4 2025) and $140.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 87.00 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 51.61 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 1.50 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 5.19 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 1.21 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 13.32 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 475.85 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 645.39 Mn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 5.48 Bn |
| 10 | Sabre | 714.70 Mn | -1.97 Bn | 422.04 Mn | 136.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 136.41 Mn |
| Jun 30, 2026 | 137.66 Mn |
| Mar 31, 2026 | 134.01 Mn |
| Dec 31, 2025 | 157.81 Mn |
| Sep 30, 2025 | 140.48 Mn |
| Jun 30, 2025 | 129.17 Mn |
| Mar 31, 2025 | 129.95 Mn |
| Dec 31, 2024 | 142.50 Mn |
| Sep 30, 2024 | 149.39 Mn |
| Jun 30, 2024 | 153.94 Mn |
| Mar 31, 2024 | 141.42 Mn |
| Dec 31, 2023 | 88.66 Mn |
| Sep 30, 2023 | 150.74 Mn |
| Jun 30, 2023 | 179.06 Mn |
| Mar 31, 2023 | 164.43 Mn |
| Dec 31, 2022 | 144.81 Mn |
| Sep 30, 2022 | 172.36 Mn |
| Jun 30, 2022 | 176.31 Mn |
| Mar 31, 2022 | 167.68 Mn |
| Dec 31, 2021 | 163.23 Mn |
Sabre 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=SABR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SABR", "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=SABR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();