Lyft (LYFT) Cost of Revenue (2018 - 2026)
Lyft (LYFT) reported Cost of Revenue of $926.42 million for Q2 2026, down 1.0% from $935.73 million a year earlier but up 7.2% from the prior quarter.
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Analysis
Lyft (LYFT) Cost of Revenue (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lyft's Cost of Revenue came in at $3.69 billion, up 3.6% year-over-year; for FY2025, it was $3.7 billion, up 10.8% from FY2024.
- Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $3.34 billion in FY2024 (+31.2%), $2.54 billion in FY2023 (+4.4%), $2.44 billion in FY2022 (+43.1%) and $1.7 billion in FY2021 (+17.6%).
- Five-year quarterly Cost of Revenue spans a low of $392.21 million in Q3 2021 and a high of $971.82 million in Q4 2025.
- Year over year, Cost of Revenue gained in seven of the last eight quarters, with growth averaging 12.3%.
- The high point for year-over-year Cost of Revenue in five years was Q2 2022 (growth of 87.5%); the low point was Q2 2023 (a decline of 6.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $864.14 million (Q1 2026), $971.82 million (Q4 2025) and $927.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 3.70 Bn |
| 10 | Lyft | 5.85 Bn | -1.49 Bn | 917.12 Mn | 926.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 926.42 Mn |
| Mar 31, 2026 | 864.14 Mn |
| Dec 31, 2025 | 971.82 Mn |
| Sep 30, 2025 | 927.22 Mn |
| Jun 30, 2025 | 935.73 Mn |
| Mar 31, 2025 | 862.87 Mn |
| Dec 31, 2024 | 874.58 Mn |
| Sep 30, 2024 | 888.26 Mn |
| Jun 30, 2024 | 819.52 Mn |
| Mar 31, 2024 | 755.36 Mn |
| Dec 31, 2023 | 743.86 Mn |
| Sep 30, 2023 | 644.50 Mn |
| Jun 30, 2023 | 606.60 Mn |
| Mar 31, 2023 | 548.99 Mn |
| Dec 31, 2022 | 774.38 Mn |
| Sep 30, 2022 | 570.70 Mn |
| Jun 30, 2022 | 650.36 Mn |
| Mar 31, 2022 | 440.29 Mn |
| Dec 31, 2021 | 551.18 Mn |
| Sep 30, 2021 | 392.21 Mn |
API Access
Lyft Cost of Revenue 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=cost-of-revenue&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();