Yelp (YELP) Research & Development (2011 - 2026)
Yelp's (YELP) quarterly Research & Development came in at $153.6 million in Q2 2026, up 6.19% year-over-year from $144.6 million in Q2 2025, and little changed quarter-over-quarter from $153.0 million in Q1 2026.
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Analysis
Yelp (YELP) Research & Development (2011 - 2026) Analysis & Trends
Yelp has disclosed Research & Development across 15 years of filings, most recently posting $153.6 million for Q2 2026.
- In Q2 2026, Research & Development rose 6.19% year-over-year to $153.6 million; the TTM figure through Jun 2026 stood at $607.8 million (up 5.01% YoY), while the FY2025 annual figure was $592.1 million, up 1.05% from the prior year.
- Research & Development came in at $153.6 million for Q2 2026 at Yelp, roughly flat from $153.0 million in the prior quarter.
- In the past five years, Research & Development ranged from a high of $153.6 million in Q2 2026 to a low of $126.1 million in Q1 2022.
- Average Research & Development over 5 years is $142.0 million, with a median of $144.6 million recorded in 2024.
- Year-over-year, Research & Development rose 16.94% in 2023 and decreased 3.78% in 2025.
- Over 5 years, Research & Development stood at $126.4 million in 2022, then grew by 4.7% to $132.3 million in 2023, then rose by 8.29% to $143.3 million in 2024, then climbed by 5.03% to $150.5 million in 2025, then advanced by 2.05% to $153.6 million in 2026.
- Per Business Quant data, the three most recent Research & Development figures were $153.6 million in Q2 2026, $153.0 million in Q1 2026, and $150.5 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Meta Platforms | 1,888.68 Bn | 1,798.42 Bn | 49.47 Bn | 21.66 Bn |
| 2 | 30.53 Bn | 27.74 Bn | 734.60 Mn | 231.28 Mn | |
| 3 | Bilibili | 12.72 Bn | 10.58 Bn | 433.97 Mn | -148.13 Mn |
| 4 | 10.94 Bn | 9.67 Bn | 922.30 Mn | 451.01 Mn | |
| 5 | Match | 9.92 Bn | 9.34 Bn | 648.84 Mn | 158.25 Mn |
| 6 | Snap | 9.84 Bn | 7.18 Bn | 931.11 Mn | 542.09 Mn |
| 7 | Rum | 5.42 Bn | 5.31 Bn | - | 10.38 Mn |
| 8 | Sound | 4.74 Bn | 4.63 Bn | - | - |
| 9 | Joyy | 4.18 Bn | 3.87 Bn | 201.60 Mn | -53.02 Mn |
| 10 | Yelp | 1.07 Bn | 972.47 Mn | 333.74 Mn | 153.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.56 Mn |
| Mar 31, 2026 | 153.01 Mn |
| Dec 31, 2025 | 150.47 Mn |
| Sep 30, 2025 | 150.74 Mn |
| Jun 30, 2025 | 144.61 Mn |
| Mar 31, 2025 | 146.28 Mn |
| Dec 31, 2024 | 143.26 Mn |
| Sep 30, 2024 | 144.63 Mn |
| Jun 30, 2024 | 150.29 Mn |
| Mar 31, 2024 | 147.79 Mn |
| Dec 31, 2023 | 132.30 Mn |
| Sep 30, 2023 | 137.70 Mn |
| Jun 30, 2023 | 139.15 Mn |
| Mar 31, 2023 | 147.46 Mn |
| Dec 31, 2022 | 126.36 Mn |
| Sep 30, 2022 | 133.06 Mn |
| Jun 30, 2022 | 129.41 Mn |
| Mar 31, 2022 | 126.10 Mn |
| Dec 31, 2021 | 113.38 Mn |
| Sep 30, 2021 | 114.30 Mn |
API Access
Yelp Research & Development 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=research-and-development&ticker=YELP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();