Li Auto (LI) Stock Buyback History
TTM buyback yield N/A.
Li Auto
LI
TTM buyback yield
N/A
Shareholder yield (TTM)
N/A
5Y share count change
18.4%
TTM buyback spend
N/A
SBC coverage (TTM)
0.00x
Diluted vs basic shares (annual)
Weighted average shares from the income statement: diluted (EPS denominator and typical buyback-yield basis) compared with basic.
Shares outstanding (annual)
Year-over-year change in diluted weighted average shares (industry-standard for EPS and per-share capital return). Green is fewer shares vs the prior fiscal year; red is growth (dilution). The earliest year shown has no prior year to compare.
Dividend & buyback yield
Buybacks vs stock-based compensation
TTM coverage: 0.00x (buybacks ÷ SBC). Bars are fiscal-year totals.
Buyback spending history
| Year | Buybacks | SBC | Net | Shares (dil.) | YoY shares | Buyback yield |
|---|---|---|---|---|---|---|
| 2025 | $0.00 | $1.26B | −$1.26B | 1.07B | 0.6% | — |
| 2024 | $0.00 | $2.63B | −$2.63B | 1.06B | 0.7% | — |
| 2023 | $0.00 | $2.38B | −$2.38B | 1.06B | 9.0% | — |
| 2022 | $0.00 | $2.05B | −$2.05B | 0.97B | 4.7% | — |
| 2021 | $0.00 | $1.10B | −$1.10B | 0.93B | 2.4% | — |
| 2020 | $0.00 | $142.79M | −$142.79M | 0.90B | 0.0% | — |
| 2019 | $3.79M | $0.00 | $3.79M | 0.90B | 0.0% | 0.00% |
| 2018 | $15.14M | $0.00 | $15.14M | 0.90B | — | 0.01% |
Buybacks vs dividends (share of cash returned)
Buyback capacity (TTM)
TTM buybacks vs headroom (FCF − dividends, TTM)N/A
Headroom $0.00 (TTM FCF − TTM dividends, clamped at zero).
Frequently asked questions
Does Li Auto buy back its own stock?
- Yes, Li Auto (LI) has repurchased shares in recent periods. See the history table and charts on this page for amounts and trends.
Is Li Auto diluting shareholders?
- Compare stock-based compensation (SBC) to buybacks in the chart above. Net effect varies by year; see annual buyback vs SBC bars and the history table.
How has Li Auto's share count changed?
- Diluted weighted average shares changed by about 18.4% over roughly five fiscal years (annual income statement data).