Bragg Gaming (BRAG) Goodwill (2020 - 2026)
Bragg Gaming's Goodwill came in at $36.68 million for the quarter ended Jun 30, 2026, up 3.7% from $35.36 million a year earlier but down 0.4% from the prior quarter.
Bragg Gaming (BRAG) Goodwill (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Bragg Gaming's Goodwill was $35.26 million, down 0.5% from the prior year.
- Goodwill carries a five-year compound annual growth rate of 9.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, Goodwill was $35.42 million in the year ended Dec 31, 2024 (+2.6%), $34.53 million in the year ended Dec 31, 2023 (+3.5%), $33.37 million in the year ended Dec 31, 2022 (+14.0%) and $29.26 million in the year ended Dec 31, 2021 (+28.5%).
- The five-year range for quarterly Goodwill is $27.75 million (the quarter ended Mar 31, 2022) to $36.82 million (the quarter ended Mar 31, 2026).
- Year-over-year, Goodwill has increased for five consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- The fastest year-over-year change in Goodwill over five years came in the quarter ended Mar 31, 2023 (growth of 22.5%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 7.7%).
- Business Quant data shows BRAG's Goodwill at $36.82 million (quarter ended Mar 31, 2026), $36.33 million (quarter ended Dec 31, 2025) and $36.49 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn |
| 10 | Bragg Gaming | 34.75 Mn | 15.63 Mn | 13.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.68 Mn |
| Mar 31, 2026 | 36.82 Mn |
| Dec 31, 2025 | 36.33 Mn |
| Sep 30, 2025 | 36.49 Mn |
| Jun 30, 2025 | 35.36 Mn |
| Mar 31, 2025 | 33.85 Mn |
| Dec 31, 2024 | 34.97 Mn |
| Sep 30, 2024 | 34.88 Mn |
| Jun 30, 2024 | 34.79 Mn |
| Mar 31, 2024 | 34.97 Mn |
| Dec 31, 2023 | 34.35 Mn |
| Sep 30, 2023 | 34.47 Mn |
| Jun 30, 2023 | 34.48 Mn |
| Mar 31, 2023 | 33.98 Mn |
| Dec 31, 2022 | 32.30 Mn |
| Sep 30, 2022 | 28.74 Mn |
| Jun 30, 2022 | 30.34 Mn |
| Mar 31, 2022 | 27.75 Mn |
| Dec 31, 2021 | 28.29 Mn |
| Sep 30, 2021 | 31.15 Mn |
Bragg Gaming Goodwill 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=goodwill&ticker=BRAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "ticker": "BRAG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=goodwill&ticker=BRAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();