Lyft (LYFT) Research & Development (2018 - 2026)
Lyft (LYFT) reported Research & Development of $119.22 million for Q2 2026, up 9.1% from $109.33 million a year earlier but down 4.0% from the prior quarter.
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Analysis
Lyft (LYFT) Research & Development (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lyft's Research & Development came in at $472.97 million, up 12.6% year-over-year; for FY2025, it came in at $451.42 million, up 13.7% from FY2024.
- Research & Development has a five-year compound annual growth rate of -13.1% (FY2020 to FY2025).
- By year, Research & Development came in at $397.07 million in FY2024 (-28.6%), $555.92 million in FY2023 (-35.1%), $856.78 million in FY2022 (-6.0%) and $911.95 million in FY2021 (+0.3%).
- Five-year quarterly Research & Development spans a low of $93.8 million in Q4 2024 and a high of $234.58 million in Q4 2022.
- Year over year, Research & Development has now increased in each of the last six quarters, with growth averaging 8.7% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q4 2025 (growth of 27.9%); the low point was Q4 2023 (a decline of 59.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $124.15 million (Q1 2026), $119.98 million (Q4 2025) and $109.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -673.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 99.90 Mn |
| 10 | Lyft | 5.63 Bn | -1.71 Bn | 917.12 Mn | 119.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.22 Mn |
| Mar 31, 2026 | 124.15 Mn |
| Dec 31, 2025 | 119.98 Mn |
| Sep 30, 2025 | 109.62 Mn |
| Jun 30, 2025 | 109.33 Mn |
| Mar 31, 2025 | 112.50 Mn |
| Dec 31, 2024 | 93.80 Mn |
| Sep 30, 2024 | 104.45 Mn |
| Jun 30, 2024 | 98.81 Mn |
| Mar 31, 2024 | 100.02 Mn |
| Dec 31, 2023 | 95.17 Mn |
| Sep 30, 2023 | 109.23 Mn |
| Jun 30, 2023 | 154.61 Mn |
| Mar 31, 2023 | 196.90 Mn |
| Dec 31, 2022 | 234.58 Mn |
| Sep 30, 2022 | 227.68 Mn |
| Jun 30, 2022 | 201.77 Mn |
| Mar 31, 2022 | 192.75 Mn |
| Dec 31, 2021 | 195.00 Mn |
| Sep 30, 2021 | 226.69 Mn |
API Access
Lyft 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=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "LYFT", "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=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();