Lyft (LYFT) EPS (Diluted) (2019 - 2026)
Lyft's EPS (Diluted) was $0.13 in Q2 2026, up 36.6% from $0.10 a year earlier and up 267.7% from the prior quarter.
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Analysis
Lyft (LYFT) EPS (Diluted) (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lyft's EPS (Diluted) was $7.42 through Jun 30, 2026; for FY2025, it came in at $6.81.
- In earlier years, EPS (Diluted) was $0.06 in FY2024, -$0.88 in FY2023, -$4.47 in FY2022 and -$3.17 in FY2021.
- Quarterly EPS (Diluted) has moved between -$1.66 (Q4 2022) and $6.60 (Q4 2025) over five years.
- Per Business Quant data, LYFT's EPS (Diluted) in the three quarters before Q2 2026 was $0.04 (Q1 2026), $6.60 (Q4 2025) and $0.11 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 9.11 |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 6.18 |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 0.80 |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 0.65 |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.16 |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.17 |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 2.53 |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 2.70 |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 3.76 |
| 10 | Lyft | 5.63 Bn | -1.71 Bn | 917.12 Mn | 0.13 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.13 |
| Mar 31, 2026 | 0.04 |
| Dec 31, 2025 | 6.60 |
| Sep 30, 2025 | 0.11 |
| Jun 30, 2025 | 0.10 |
| Mar 31, 2025 | 0.01 |
| Dec 31, 2024 | 0.15 |
| Sep 30, 2024 | -0.03 |
| Jun 30, 2024 | 0.01 |
| Mar 31, 2024 | -0.08 |
| Dec 31, 2023 | -0.07 |
| Sep 30, 2023 | -0.03 |
| Jun 30, 2023 | -0.30 |
| Mar 31, 2023 | -0.50 |
| Dec 31, 2022 | -1.66 |
| Sep 30, 2022 | -1.18 |
| Jun 30, 2022 | -1.08 |
| Mar 31, 2022 | -0.57 |
| Dec 31, 2021 | -0.85 |
| Sep 30, 2021 | -0.30 |
API Access
Lyft EPS (Diluted) 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=eps-diluted&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();