Bumble (BMBL) Accumulated Expenses (2020 - 2026)
Bumble (BMBL) posted Accumulated Expenses of $80.85 million for Q2 2026, up 24.3% from $65.04 million a year earlier but down 17.0% from the prior quarter.
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Analysis
Bumble (BMBL) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Bumble's Accumulated Expenses came in at $86.23 million, up 4.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -13.8% (FY2020 to FY2025).
- In prior years, Bumble's Accumulated Expenses was $82.8 million in FY2024 (-55.4%), $185.8 million in FY2023 (+18.8%), $156.44 million in FY2022 (+40.3%) and $111.48 million in FY2021 (-38.4%).
- Quarterly Accumulated Expenses has run from a low of $65.04 million in Q2 2025 to a high of $185.8 million in Q4 2023 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with an average decline of 15.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2023, with growth of 73.9%; the weakest was Q4 2024, with a decline of 55.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $97.46 million (Q1 2026), $86.23 million (Q4 2025) and $74.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Bumble | 346.80 Mn | -435.84 Mn | 156.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.85 Mn |
| Mar 31, 2026 | 97.46 Mn |
| Dec 31, 2025 | 86.23 Mn |
| Sep 30, 2025 | 74.81 Mn |
| Jun 30, 2025 | 65.04 Mn |
| Mar 31, 2025 | 67.23 Mn |
| Dec 31, 2024 | 82.80 Mn |
| Sep 30, 2024 | 125.08 Mn |
| Jun 30, 2024 | 117.90 Mn |
| Mar 31, 2024 | 140.54 Mn |
| Dec 31, 2023 | 185.80 Mn |
| Sep 30, 2023 | 136.47 Mn |
| Jun 30, 2023 | 124.31 Mn |
| Mar 31, 2023 | 146.35 Mn |
| Dec 31, 2022 | 156.44 Mn |
| Sep 30, 2022 | 78.48 Mn |
| Jun 30, 2022 | 154.68 Mn |
| Mar 31, 2022 | 114.13 Mn |
| Dec 31, 2021 | 111.48 Mn |
| Sep 30, 2021 | 104.76 Mn |
API Access
Bumble Accumulated Expenses 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=accumulated-expenses&ticker=BMBL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BMBL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=BMBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();