Sea (SE) Inventory (2016 - 2026)
Sea (SE) recorded Inventory of $273.3 million in the quarter ended Jun 30, 2026, up 61.4% from $169.3 million a year earlier and up 19.2% from the prior quarter.
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Analysis
Sea (SE) Inventory (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Sea reported Inventory of $222.58 million, up 55.4% from the prior year.
- Annual Inventory has increased for three straight years, with a five-year compound annual growth rate of 28.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Inventory came in at $143.25 million in the year ended Dec 31, 2024 (+14.2%), $125.4 million in the year ended Dec 31, 2023 (+14.3%), $109.67 million in the year ended Dec 31, 2022 (-6.7%) and $117.5 million in the year ended Dec 31, 2021 (+83.0%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Inventory in data going back to the quarter ended Dec 31, 2016.
- On a year-over-year basis, Inventory has increased for 11 consecutive quarters, with growth averaging 33.7% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 108.7% in the quarter ended Sep 30, 2021, against a decline of 23.2% in the quarter ended Mar 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $229.33 million (quarter ended Mar 31, 2026), $222.58 million (quarter ended Dec 31, 2025) and $209.29 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,441.41 Bn | 3,176.31 Bn | 76.16 Bn | 13.31 Bn |
| 2 | Meta Platforms | 1,546.51 Bn | 1,211.03 Bn | 51.23 Bn | - |
| 3 | Netflix | 269.88 Bn | 231.18 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 251.04 Bn | 64.67 Bn | 15.16 Bn | - |
| 5 | Shopify | 185.46 Bn | 164.27 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 139.78 Bn | 111.58 Bn | 6.38 Bn | - |
| 7 | Booking Holdings | 126.33 Bn | 60.08 Bn | - | - |
| 8 | Spotify Technology | 126.29 Bn | 83.21 Bn | 1.89 Bn | - |
| 9 | AppLovin | 119.11 Bn | 107.63 Bn | 1.94 Bn | - |
| 10 | Sea | 45.03 Bn | 4.92 Bn | 3.55 Bn | 273.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 273.30 Mn |
| Mar 31, 2026 | 229.33 Mn |
| Dec 31, 2025 | 222.58 Mn |
| Sep 30, 2025 | 209.29 Mn |
| Jun 30, 2025 | 169.30 Mn |
| Mar 31, 2025 | 172.70 Mn |
| Dec 31, 2024 | 143.25 Mn |
| Sep 30, 2024 | 200.71 Mn |
| Jun 30, 2024 | 157.52 Mn |
| Mar 31, 2024 | 142.28 Mn |
| Dec 31, 2023 | 125.40 Mn |
| Sep 30, 2023 | 116.32 Mn |
| Jun 30, 2023 | 98.49 Mn |
| Mar 31, 2023 | 107.31 Mn |
| Dec 31, 2022 | 109.67 Mn |
| Sep 30, 2022 | 122.39 Mn |
| Jun 30, 2022 | 127.18 Mn |
| Mar 31, 2022 | 139.69 Mn |
| Dec 31, 2021 | 117.50 Mn |
| Sep 30, 2021 | 128.69 Mn |
API Access
Sea Inventory 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=inventory&ticker=SE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "SE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=SE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();