Sports Entertainment Gaming Global (SEGG) Depreciation and Depletion (2021 - 2025)
Sports Entertainment Gaming Global (SEGG) posted Depreciation and Depletion of $3,411 for Q4 2025, up 141.4% from $1,413 a year earlier and up 311.0% from the prior quarter.
Sports Entertainment Gaming Global (SEGG) Depreciation and Depletion (2021 - 2025) Analysis & Trends
For FY2025, Sports Entertainment Gaming Global's Depreciation and Depletion came in at $4,241, down 53.8% from FY2024.
- Annual Depreciation and Depletion has declined for four consecutive years, with a four-year compound annual growth rate of -70.5% (FY2021 to FY2025).
- In prior years, Sports Entertainment Gaming Global's Depreciation and Depletion was $9,185 in FY2024 (-89.9%), $90,744 in FY2023 (-43.4%), $160,466 in FY2022 (-71.4%) and $560,246 in FY2021.
- The Q4 2025 figure stands as the highest quarterly Depreciation and Depletion since Q4 2023.
- On a year-over-year basis, Depreciation and Depletion increased in 1 of the last seven quarters, with an average decline of 35.6%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2025, with growth of 141.4%; the weakest was Q1 2022, with a decline of 97.3%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $830.00 (Q3 2025), $1,579 (Q2 2025) and $1,718 (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 7.10 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 6.00 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | - |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | - |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | -418.45 Mn |
| 10 | Sports Entertainment Gaming Global | 1.16 Mn | 1.11 Mn | - | 3,411.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3,411.00 |
| Sep 30, 2025 | 830.00 |
| Jun 30, 2025 | 1,579.00 |
| Mar 31, 2025 | 1,718.00 |
| Dec 31, 2024 | 1,413.00 |
| Sep 30, 2024 | 2,095.00 |
| Jun 30, 2024 | 2,831.00 |
| Mar 31, 2024 | 2,846.00 |
| Dec 31, 2023 | 46,591.00 |
| Sep 30, 2023 | 7,772.00 |
| Jun 30, 2023 | 11,825.00 |
| Dec 31, 2022 | 36,277.00 |
| Sep 30, 2022 | 80,990.00 |
| Jun 30, 2022 | 36,277.00 |
| Mar 31, 2022 | 4,152.00 |
| Dec 31, 2021 | 86,746.00 |
| Sep 30, 2021 | 250,875.00 |
| Jun 30, 2021 | 68,522.00 |
| Mar 31, 2021 | 153,453.00 |
Sports Entertainment Gaming Global 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=SEGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "SEGG", "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=SEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();