Lyft (LYFT) Return on Sales [ROS] (2018 - 2026)
Lyft's Return on Sales [ROS] came in at 2.58% for Q2 2026, up 2.43 percentage points from 0.15% a year earlier and up 2.90 percentage points from the prior quarter.
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Analysis
Lyft (LYFT) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lyft reported Return on Sales [ROS] of -1.77%, down 0.87 percentage points year-over-year; for FY2025, it came in at -2.98%, down 0.93 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +73.49 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -2.06% in FY2024 (+8.75 pp), -10.80% in FY2023 (+24.83 pp), -35.63% in FY2022 (-0.24 pp) and -35.38% in FY2021 (+41.09 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q1 2018.
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +0.90 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2021 (a gain of 67.00 percentage points), and the weakest in Q4 2022 (a drop of 22.52 percentage points).
- Business Quant data shows LYFT's Return on Sales [ROS] at -0.32% (Q1 2026), -11.62% (Q4 2025) and 1.37% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 5.62% |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 34.00% |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 24.62% |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 77.68% |
| 10 | Lyft | 5.63 Bn | -1.71 Bn | 917.12 Mn | 2.58% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.58% |
| Mar 31, 2026 | -0.32% |
| Dec 31, 2025 | -11.62% |
| Sep 30, 2025 | 1.37% |
| Jun 30, 2025 | 0.15% |
| Mar 31, 2025 | -1.99% |
| Dec 31, 2024 | 1.80% |
| Sep 30, 2024 | -3.72% |
| Jun 30, 2024 | -1.90% |
| Mar 31, 2024 | -4.93% |
| Dec 31, 2023 | -4.91% |
| Sep 30, 2023 | -3.47% |
| Jun 30, 2023 | -15.53% |
| Mar 31, 2023 | -21.66% |
| Dec 31, 2022 | -50.73% |
| Sep 30, 2022 | -27.55% |
| Jun 30, 2022 | -37.67% |
| Mar 31, 2022 | -22.77% |
| Dec 31, 2021 | -28.21% |
| Sep 30, 2021 | -23.72% |
API Access
Lyft Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();