Lyft (LYFT) Return on Capital Employed [ROCE] (2019 - 2026)
Lyft (LYFT) posted Return on Capital Employed [ROCE] of -2.91% for Q2 2026, up 0.54 percentage points from -3.44% a year earlier and up 0.93 percentage points from the prior quarter.
Lyft (LYFT) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Lyft's Return on Capital Employed [ROCE] came in at -6.96%, up 3.67 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for three consecutive years, with a five-year change of +51.17 percentage points (FY2020 to FY2025).
- In prior years, Lyft's Return on Capital Employed [ROCE] was -10.63% in FY2024 (+19.12 pp), -29.75% in FY2023 (+65.45 pp), -95.19% in FY2022 (-43.83 pp) and -51.37% in FY2021 (+6.77 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -104.89% in Q1 2023 to a high of 1.62% in Q3 2025 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last 11 quarters, with an average year-over-year change of +15.26 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2024, with a gain of 84.05 percentage points; the weakest was Q1 2023, with a drop of 63.04 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -3.84% (Q1 2026), -6.36% (Q4 2025) and 1.62% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 21.49% |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 23.74% |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 30.16% |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 2.77% |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 14.37% |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 13.97% |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 121.68% |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 22.53% |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 78.53% |
| 10 | Lyft | 5.63 Bn | -1.71 Bn | 917.12 Mn | -2.91% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.91% |
| Mar 31, 2026 | -3.84% |
| Dec 31, 2025 | -6.36% |
| Sep 30, 2025 | 1.62% |
| Jun 30, 2025 | -3.44% |
| Mar 31, 2025 | -5.74% |
| Dec 31, 2024 | -8.10% |
| Sep 30, 2024 | -16.15% |
| Jun 30, 2024 | -15.38% |
| Mar 31, 2024 | -20.84% |
| Dec 31, 2023 | -30.49% |
| Sep 30, 2023 | -66.84% |
| Jun 30, 2023 | -85.98% |
| Mar 31, 2023 | -104.89% |
| Dec 31, 2022 | -100.91% |
| Sep 30, 2022 | -60.01% |
| Jun 30, 2022 | -51.75% |
| Mar 31, 2022 | -41.85% |
| Dec 31, 2021 | -49.73% |
| Sep 30, 2021 | -57.94% |
Lyft Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=LYFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();