Lyft (LYFT) Accumulated Expenses (2018 - 2026)
Lyft (LYFT) posted Accumulated Expenses of $2.43 billion for Q2 2026, up 32.0% from $1.84 billion a year earlier and up 6.6% from the prior quarter.
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Analysis
Lyft (LYFT) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Lyft's Accumulated Expenses came in at $2.2 billion, up 31.8% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- In prior years, Lyft's Accumulated Expenses was $1.67 billion in FY2024 (+10.4%), $1.51 billion in FY2023 (-3.4%), $1.56 billion in FY2022 (+23.5%) and $1.26 billion in FY2021 (+32.5%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2018.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last eight quarters, with growth averaging 19.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 32.5%; the weakest was Q1 2024, with a decline of 3.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.28 billion (Q1 2026), $2.2 billion (Q4 2025) and $1.93 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Lyft | 5.68 Bn | -1.66 Bn | 917.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Bn |
| Mar 31, 2026 | 2.28 Bn |
| Dec 31, 2025 | 2.20 Bn |
| Sep 30, 2025 | 1.93 Bn |
| Jun 30, 2025 | 1.84 Bn |
| Mar 31, 2025 | 1.74 Bn |
| Dec 31, 2024 | 1.67 Bn |
| Sep 30, 2024 | 1.72 Bn |
| Jun 30, 2024 | 1.60 Bn |
| Mar 31, 2024 | 1.58 Bn |
| Dec 31, 2023 | 1.51 Bn |
| Sep 30, 2023 | 1.53 Bn |
| Jun 30, 2023 | 1.61 Bn |
| Mar 31, 2023 | 1.64 Bn |
| Dec 31, 2022 | 1.56 Bn |
| Sep 30, 2022 | 1.38 Bn |
| Jun 30, 2022 | 1.35 Bn |
| Mar 31, 2022 | 1.36 Bn |
| Dec 31, 2021 | 1.26 Bn |
| Sep 30, 2021 | 1.23 Bn |
API Access
Lyft Accumulated Expenses 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=accumulated-expenses&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();