Expedia (EXPE) Depreciation and Depletion (2009 - 2026)
Expedia (EXPE) reported Depreciation and Depletion of $217 million for Q2 2026, up 2.4% from $212 million a year earlier but down 1.8% from the prior quarter.
Expedia (EXPE) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Expedia's Depreciation and Depletion came in at $865 million, up 6.0% year-over-year; for FY2025, it was $847 million, up 8.5% from FY2024.
- Depreciation and Depletion has increased for three consecutive years, with a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $781 million in FY2024 (+4.4%), $748 million in FY2023 (+6.3%), $704 million in FY2022 (-1.5%) and $715 million in FY2021 (-3.2%).
- Five-year quarterly Depreciation and Depletion spans a low of $175 million in Q1 2022 and a high of $221 million in Q1 2026.
- Year over year, Depreciation and Depletion has now increased in each of the last 14 quarters, with growth averaging 5.9% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q2 2025 (growth of 11.6%); the low point was Q1 2022 (a decline of 3.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $221 million (Q1 2026), $212 million (Q4 2025) and $215 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 7.10 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | - |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | - |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | - |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | - |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | - |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | - |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | -418.45 Mn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | - |
| 10 | Expedia | 30.07 Bn | 5.24 Bn | 3.91 Bn | 217.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 217.00 Mn |
| Mar 31, 2026 | 221.00 Mn |
| Dec 31, 2025 | 212.00 Mn |
| Sep 30, 2025 | 215.00 Mn |
| Jun 30, 2025 | 212.00 Mn |
| Mar 31, 2025 | 208.00 Mn |
| Dec 31, 2024 | 199.00 Mn |
| Sep 30, 2024 | 197.00 Mn |
| Jun 30, 2024 | 190.00 Mn |
| Mar 31, 2024 | 195.00 Mn |
| Dec 31, 2023 | 193.00 Mn |
| Sep 30, 2023 | 194.00 Mn |
| Jun 30, 2023 | 184.00 Mn |
| Mar 31, 2023 | 177.00 Mn |
| Dec 31, 2022 | 177.00 Mn |
| Sep 30, 2022 | 176.00 Mn |
| Jun 30, 2022 | 176.00 Mn |
| Mar 31, 2022 | 175.00 Mn |
| Dec 31, 2021 | 177.00 Mn |
| Sep 30, 2021 | 177.00 Mn |
Expedia Depreciation and Depletion 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=depreciation-and-depletion&ticker=EXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "EXPE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=EXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();