Booking Holdings (BKNG) Change in Accured Expenses (2009 - 2026)
Booking Holdings (BKNG) recorded Change in Accured Expenses of $2.38 billion in Q2 2026, up 25.7% from $1.89 billion a year earlier and up 30.3% from the prior quarter.
Booking Holdings (BKNG) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Booking Holdings' Change in Accured Expenses came in at $1.21 billion as of Jun 30, 2026, down 33.7% year-over-year; for FY2025, it came in at $796 million, down 41.5% from FY2024.
- Annual Change in Accured Expenses has declined for three straight years.
- Across earlier years, Change in Accured Expenses came in at $1.36 billion in FY2024 (-50.4%), $2.74 billion in FY2023 (-26.3%), $3.72 billion in FY2022 (+141.6%) and $1.54 billion in FY2021.
- The Q2 2026 figure is the highest quarterly Change in Accured Expenses since Q2 2022.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with growth averaging 16.8%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 61.0% in Q2 2022, against a decline of 63.5% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.83 billion (Q1 2026), -$581 million (Q4 2025) and -$2.42 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,139.30 Bn | 3,896.82 Bn | 73.85 Bn | 6.31 Bn |
| 2 | Meta Platforms | 1,802.48 Bn | 1,505.00 Bn | 49.47 Bn | 5.93 Bn |
| 3 | Netflix | 295.38 Bn | 255.58 Bn | 6.52 Bn | -1.25 Bn |
| 4 | Alibaba Group Holding | 253.00 Bn | 66.78 Bn | 15.11 Bn | - |
| 5 | Shopify | 219.40 Bn | 196.59 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 143.37 Bn | 115.17 Bn | 6.38 Bn | 447.00 Mn |
| 7 | Booking Holdings | 125.53 Bn | 58.58 Bn | - | 2.38 Bn |
| 8 | PDD Holdings | 113.03 Bn | -130.74 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 108.69 Bn | 66.19 Bn | 1.86 Bn | - |
| 10 | Airbnb | 102.92 Bn | 56.15 Bn | 2.98 Bn | -68.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.38 Bn |
| Mar 31, 2026 | 1.83 Bn |
| Dec 31, 2025 | -581.00 Mn |
| Sep 30, 2025 | -2.42 Bn |
| Jun 30, 2025 | 1.89 Bn |
| Mar 31, 2025 | 1.90 Bn |
| Dec 31, 2024 | -947.00 Mn |
| Sep 30, 2024 | -1.03 Bn |
| Jun 30, 2024 | 1.21 Bn |
| Mar 31, 2024 | 2.12 Bn |
| Dec 31, 2023 | 98.00 Mn |
| Sep 30, 2023 | -485.00 Mn |
| Jun 30, 2023 | 1.09 Bn |
| Mar 31, 2023 | 2.04 Bn |
| Dec 31, 2022 | 127.00 Mn |
| Sep 30, 2022 | -1.27 Bn |
| Jun 30, 2022 | 2.99 Bn |
| Mar 31, 2022 | 1.87 Bn |
| Dec 31, 2021 | -544.00 Mn |
| Sep 30, 2021 | 110.00 Mn |
Booking Holdings Change in Accured 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=change-in-accured-expenses&ticker=BKNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "BKNG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=BKNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();