Lyft (LYFT) Non Operating Income (2019 - 2026)
Lyft (LYFT) recorded Non Operating Income of $36.3 million in Q2 2026, down 22.7% from $46.99 million a year earlier but up 19.7% from the prior quarter.
Powered by 
Analysis
Lyft (LYFT) Non Operating Income (2019 - 2026) Analysis & Trends
On a TTM basis, Lyft's Non Operating Income came in at $134.6 million as of Jun 30, 2026, down 24.4% year-over-year; for FY2025, it came in at $155.88 million, down 10.0% from FY2024.
- Annual Non Operating Income has a five-year compound annual growth rate of 29.0% (FY2020 to FY2025).
- Across earlier years, Non Operating Income came in at $173.18 million in FY2024 (+1.8%), $170.12 million in FY2023, -$99.99 million in FY2022 and $135.93 million in FY2021 (+211.3%).
- Quarterly Non Operating Income has ranged from -$126.16 million in Q3 2022 to $125.04 million in Q3 2021 over the past five years.
- On a year-over-year basis, Non Operating Income rose in three of the last eight quarters, with an average decline of 5.5%.
- Peak year-over-year performance for Non Operating Income in the last five years was growth of 281.2% in Q1 2023, against a decline of 49.3% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $30.33 million (Q1 2026), $42.17 million (Q4 2025) and $25.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 97.98 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | -19.00 Mn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 51.66 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.29 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | - |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 11.25 Mn |
| 10 | Lyft | 5.63 Bn | -1.71 Bn | 917.12 Mn | 36.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.30 Mn |
| Mar 31, 2026 | 30.33 Mn |
| Dec 31, 2025 | 42.17 Mn |
| Sep 30, 2025 | 25.80 Mn |
| Jun 30, 2025 | 46.99 Mn |
| Mar 31, 2025 | 40.92 Mn |
| Dec 31, 2024 | 39.24 Mn |
| Sep 30, 2024 | 50.94 Mn |
| Jun 30, 2024 | 41.94 Mn |
| Mar 31, 2024 | 41.06 Mn |
| Dec 31, 2023 | 45.43 Mn |
| Sep 30, 2023 | 34.40 Mn |
| Jun 30, 2023 | 53.08 Mn |
| Mar 31, 2023 | 37.22 Mn |
| Dec 31, 2022 | 15.45 Mn |
| Sep 30, 2022 | -126.16 Mn |
| Jun 30, 2022 | 953,000.00 |
| Mar 31, 2022 | 9.76 Mn |
| Dec 31, 2021 | 5.55 Mn |
| Sep 30, 2021 | 125.04 Mn |
API Access
Lyft Non Operating Income 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=non-operating-income&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();