Bumble (BMBL) Operating Expenses (2020 - 2026)
Bumble (BMBL) reported Operating Expenses of $322.54 million for Q2 2026, down 45.0% from $586.57 million a year earlier but up 119.2% from the prior quarter.
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Analysis
Bumble (BMBL) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bumble's Operating Expenses came in at $1.45 billion, down 31.7% year-over-year; for FY2025, it came in at $1.77 billion, unchanged from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.77 billion in FY2024 (+77.5%), $998.46 million in FY2023 (-0.8%), $1.01 billion in FY2022 (+12.4%) and $895.59 million in FY2021 (+45.2%).
- Five-year quarterly Operating Expenses spans a low of $147.13 million in Q1 2026 and a high of $1.11 billion in Q3 2024.
- Year over year, Operating Expenses gained in three of the last eight quarters, with growth averaging 74.5%.
- The high point for year-over-year Operating Expenses in five years was Q3 2024 (growth of 352.8%); the low point was Q3 2025 (a decline of 83.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $147.13 million (Q1 2026), $799.91 million (Q4 2025) and $182.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Bumble | 333.61 Mn | -449.02 Mn | 156.53 Mn | 322.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 322.54 Mn |
| Mar 31, 2026 | 147.13 Mn |
| Dec 31, 2025 | 799.91 Mn |
| Sep 30, 2025 | 182.51 Mn |
| Jun 30, 2025 | 586.57 Mn |
| Mar 31, 2025 | 202.45 Mn |
| Dec 31, 2024 | 224.68 Mn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 216.66 Mn |
| Mar 31, 2024 | 218.99 Mn |
| Dec 31, 2023 | 280.50 Mn |
| Sep 30, 2023 | 245.51 Mn |
| Jun 30, 2023 | 238.56 Mn |
| Mar 31, 2023 | 233.88 Mn |
| Dec 31, 2022 | 389.07 Mn |
| Sep 30, 2022 | 204.30 Mn |
| Jun 30, 2022 | 221.97 Mn |
| Mar 31, 2022 | 191.01 Mn |
| Dec 31, 2021 | 211.63 Mn |
| Sep 30, 2021 | 207.35 Mn |
API Access
Bumble Operating 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=operating-expenses&ticker=BMBL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BMBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();