Lyft (LYFT) Other Non-Current Assets (2018 - 2026)
Lyft (LYFT) reported Other Non-Current Assets of $758.99 million for Q2 2026, up 64.5% from $461.27 million a year earlier but down 4.2% from the prior quarter.
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Analysis
Lyft (LYFT) Other Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Lyft posted Other Non-Current Assets of $705.36 million, up 277.8% from FY2024.
- Other Non-Current Assets has a five-year compound annual growth rate of 42.9% (FY2020 to FY2025).
- By year, Other Non-Current Assets came in at $186.72 million in FY2024 (-11.8%), $211.79 million in FY2023 (+93.6%), $109.37 million in FY2022 (+49.4%) and $73.21 million in FY2021 (-38.3%).
- Five-year quarterly Other Non-Current Assets spans a low of $67.15 million in Q1 2022 and a high of $792.51 million in Q1 2026.
- Year over year, Other Non-Current Assets has now increased in each of the last six quarters, with growth averaging 96.3% over the last eight quarters.
- The high point for year-over-year Other Non-Current Assets in five years was Q4 2025 (growth of 277.8%); the low point was Q1 2022 (a decline of 63.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $792.51 million (Q1 2026), $705.36 million (Q4 2025) and $368.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 39.71 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 21.21 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 8.36 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | - |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 25.00 Mn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 5.48 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 1.29 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | 11.39 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 600.66 Mn |
| 10 | Lyft | 5.70 Bn | -1.64 Bn | 917.12 Mn | 758.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 758.99 Mn |
| Mar 31, 2026 | 792.51 Mn |
| Dec 31, 2025 | 705.36 Mn |
| Sep 30, 2025 | 368.31 Mn |
| Jun 30, 2025 | 461.27 Mn |
| Mar 31, 2025 | 261.40 Mn |
| Dec 31, 2024 | 186.72 Mn |
| Sep 30, 2024 | 270.25 Mn |
| Jun 30, 2024 | 213.90 Mn |
| Mar 31, 2024 | 144.70 Mn |
| Dec 31, 2023 | 211.79 Mn |
| Sep 30, 2023 | 258.80 Mn |
| Jun 30, 2023 | 365.85 Mn |
| Mar 31, 2023 | 228.49 Mn |
| Dec 31, 2022 | 109.37 Mn |
| Sep 30, 2022 | 167.24 Mn |
| Jun 30, 2022 | 102.10 Mn |
| Mar 31, 2022 | 67.15 Mn |
| Dec 31, 2021 | 73.21 Mn |
| Sep 30, 2021 | 143.85 Mn |
API Access
Lyft Other Non-Current Assets 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-non-current-assets&ticker=LYFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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-non-current-assets&ticker=LYFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();