Lyft (LYFT) Other Accumulated Expenses (2018 - 2026)
Lyft's Other Accumulated Expenses was $2.31 billion in Q2 2026, up 18.5% from $1.95 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
Lyft (LYFT) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Lyft came in at $2.18 billion, up 28.2% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $1.7 billion in FY2024 (+27.2%), $1.34 billion in FY2023 (-5.6%), $1.42 billion in FY2022 (+32.6%) and $1.07 billion in FY2021 (+8.3%).
- The Q2 2026 figure marks the highest quarterly Other Accumulated Expenses in data going back to Q4 2018.
- Compared with a year earlier, Other Accumulated Expenses has increased for ten straight quarters, with growth averaging 26.1% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q4 2022 (growth of 32.6%); the worst was Q4 2023 (a decline of 5.6%).
- Per Business Quant data, LYFT's Other Accumulated Expenses in the three quarters before Q2 2026 was $2.25 billion (Q1 2026), $2.18 billion (Q4 2025) and $2.07 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn |
| 10 | Lyft | 5.76 Bn | -1.59 Bn | 917.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.31 Bn |
| Mar 31, 2026 | 2.25 Bn |
| Dec 31, 2025 | 2.18 Bn |
| Sep 30, 2025 | 2.07 Bn |
| Jun 30, 2025 | 1.95 Bn |
| Mar 31, 2025 | 1.82 Bn |
| Dec 31, 2024 | 1.70 Bn |
| Sep 30, 2024 | 1.59 Bn |
| Jun 30, 2024 | 1.49 Bn |
| Mar 31, 2024 | 1.39 Bn |
| Dec 31, 2023 | 1.34 Bn |
| Sep 30, 2023 | 1.32 Bn |
| Jun 30, 2023 | 1.31 Bn |
| Mar 31, 2023 | 1.35 Bn |
| Dec 31, 2022 | 1.42 Bn |
| Sep 30, 2022 | 1.27 Bn |
| Jun 30, 2022 | 1.23 Bn |
| Mar 31, 2022 | 1.07 Bn |
| Dec 31, 2021 | 1.07 Bn |
| Sep 30, 2021 | 1.01 Bn |
API Access
Lyft Other 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=other-accumulated-expenses&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();