Yelp (YELP) Research & Development (2011 - 2026)
Yelp (YELP) recorded Research & Development of $70.47 million in Q2 2026, down 10.1% from $78.36 million a year earlier and down 8.7% from the prior quarter.
Yelp (YELP) Research & Development (2011 - 2026) Analysis & Trends
On a TTM basis, Yelp's Research & Development came in at $299.05 million as of Jun 30, 2026, down 5.1% year-over-year; for FY2025, it was $313.69 million, down 3.8% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $325.99 million in FY2024 (-2.0%), $332.57 million in FY2023 (+8.8%), $305.56 million in FY2022 (+10.5%) and $276.47 million in FY2021 (+18.9%).
- The Q2 2026 figure is the lowest quarterly Research & Development since Q4 2021.
- On a year-over-year basis, Research & Development has declined for three consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 30.9% in Q3 2021, against a decline of 10.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $77.16 million (Q1 2026), $73.28 million (Q4 2025) and $78.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -673.00 Mn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 468.43 Mn |
| 10 | Yelp | 1.08 Bn | 222.92 Mn | 333.74 Mn | 70.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.47 Mn |
| Mar 31, 2026 | 77.16 Mn |
| Dec 31, 2025 | 73.28 Mn |
| Sep 30, 2025 | 78.14 Mn |
| Jun 30, 2025 | 78.36 Mn |
| Mar 31, 2025 | 83.91 Mn |
| Dec 31, 2024 | 74.94 Mn |
| Sep 30, 2024 | 77.75 Mn |
| Jun 30, 2024 | 82.08 Mn |
| Mar 31, 2024 | 91.23 Mn |
| Dec 31, 2023 | 78.32 Mn |
| Sep 30, 2023 | 81.02 Mn |
| Jun 30, 2023 | 85.03 Mn |
| Mar 31, 2023 | 88.20 Mn |
| Dec 31, 2022 | 72.23 Mn |
| Sep 30, 2022 | 75.80 Mn |
| Jun 30, 2022 | 76.85 Mn |
| Mar 31, 2022 | 80.69 Mn |
| Dec 31, 2021 | 70.38 Mn |
| Sep 30, 2021 | 69.40 Mn |
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_KEY
import 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();