Ebay (EBAY) Total Non-Current Liabilities (2009 - 2026)
Ebay's Total Non-Current Liabilities came in at $12.76 billion for Q2 2026, up 0.9% from $12.65 billion a year earlier but down 1.1% from the prior quarter.
Ebay (EBAY) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ebay's Total Non-Current Liabilities was $12.38 billion, down 8.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $13.58 billion in FY2024, $59 million in FY2023 (-35.9%), $92 million in FY2022 and $4 million in FY2021 (-100.0%).
- The five-year range for quarterly Total Non-Current Liabilities is $4 million (Q4 2021) to $14.74 billion (Q1 2022).
- Year-over-year, Total Non-Current Liabilities increased in 1 of the last seven quarters, with an average decline of 29.7%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 7.5%), and the weakest in Q4 2021 (a decline of 100.0%).
- Business Quant data shows EBAY's Total Non-Current Liabilities at $12.9 billion (Q1 2026), $12.38 billion (Q4 2025) and $7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,273.02 Bn | 4,030.55 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,882.67 Bn | 1,585.19 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 258.66 Bn | 82.26 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 221.29 Bn | 198.47 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 145.86 Bn | 117.84 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 120.48 Bn | 53.53 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 115.79 Bn | -126.92 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 108.98 Bn | 66.21 Bn | 1.86 Bn | 6.21 Bn |
| 10 | Ebay | 49.92 Bn | 36.46 Bn | 2.30 Bn | 12.76 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.76 Bn |
| Mar 31, 2026 | 12.90 Bn |
| Dec 31, 2025 | 12.38 Bn |
| Sep 30, 2025 | 7.00 Mn |
| Jun 30, 2025 | 12.65 Bn |
| Mar 31, 2025 | 13.47 Bn |
| Dec 31, 2024 | 13.58 Bn |
| Sep 30, 2024 | 38.00 Mn |
| Jun 30, 2024 | 14.14 Bn |
| Mar 31, 2024 | 14.19 Bn |
| Dec 31, 2023 | 59.00 Mn |
| Sep 30, 2023 | 2.82 Bn |
| Jun 30, 2023 | 13.79 Bn |
| Mar 31, 2023 | 13.55 Bn |
| Dec 31, 2022 | 92.00 Mn |
| Sep 30, 2022 | 3.12 Bn |
| Jun 30, 2022 | 13.40 Bn |
| Mar 31, 2022 | 14.74 Bn |
| Dec 31, 2021 | 4.00 Mn |
| Sep 30, 2021 | 4.04 Bn |
Ebay Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=EBAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "EBAY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=EBAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();