Yelp (YELP) Operating Expenses (2011 - 2026)
Yelp (YELP) recorded Operating Expenses of $331.79 million in Q2 2026, up 4.6% from $317.1 million a year earlier but down 0.7% from the prior quarter.
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Analysis
Yelp (YELP) Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Yelp's Operating Expenses came in at $1.3 billion as of Jun 30, 2026, up 2.5% year-over-year; for FY2025, it came in at $1.28 billion, up 1.5% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.26 billion in FY2024 (+0.2%), $1.26 billion in FY2023 (+10.8%), $1.14 billion in FY2022 (+13.5%) and $1 billion in FY2021 (+9.7%).
- Quarterly Operating Expenses has ranged from $247.51 million in Q3 2021 to $334.16 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 19.4% in Q3 2022, against a decline of 2.8% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $334.16 million (Q1 2026), $311.1 million (Q4 2025) and $323.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,152.60 Bn | 3,910.13 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,762.81 Bn | 1,465.33 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.79 Bn | 252.99 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.11 Bn | 65.88 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 226.18 Bn | 203.37 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 140.57 Bn | 112.37 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 126.03 Bn | 59.08 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 113.79 Bn | -129.99 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 109.27 Bn | 66.77 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Yelp | 1.12 Bn | 264.68 Mn | 333.74 Mn | 331.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 331.79 Mn |
| Mar 31, 2026 | 334.16 Mn |
| Dec 31, 2025 | 311.10 Mn |
| Sep 30, 2025 | 323.15 Mn |
| Jun 30, 2025 | 317.10 Mn |
| Mar 31, 2025 | 329.07 Mn |
| Dec 31, 2024 | 308.52 Mn |
| Sep 30, 2024 | 313.69 Mn |
| Jun 30, 2024 | 317.27 Mn |
| Mar 31, 2024 | 321.54 Mn |
| Dec 31, 2023 | 317.36 Mn |
| Sep 30, 2023 | 303.25 Mn |
| Jun 30, 2023 | 318.38 Mn |
| Mar 31, 2023 | 319.03 Mn |
| Dec 31, 2022 | 275.72 Mn |
| Sep 30, 2022 | 295.47 Mn |
| Jun 30, 2022 | 282.88 Mn |
| Mar 31, 2022 | 281.08 Mn |
| Dec 31, 2021 | 253.81 Mn |
| Sep 30, 2021 | 247.51 Mn |
API Access
Yelp 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=YELP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "YELP", "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=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();