RLX Technology (RLX) Accumulated Expenses (2019 - 2026)
RLX Technology (RLX) reported Accumulated Expenses of $24 million for the quarter ended Jun 30, 2026, up 14.2% from $21.01 million a year earlier and up 6.8% from the prior quarter.
RLX Technology (RLX) Accumulated Expenses (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, RLX Technology posted Accumulated Expenses of $21.39 million, up 43.5% from the prior year.
- Accumulated Expenses has a five-year compound annual growth rate of 3.6% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $14.91 million in the year ended Dec 31, 2024 (+280.7%), $3.92 million in the year ended Dec 31, 2023 (-83.3%), $23.41 million in the year ended Dec 31, 2022 (-52.4%) and $49.18 million in the year ended Dec 31, 2021 (+174.4%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Accumulated Expenses since the quarter ended Mar 31, 2023.
- Year over year, Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 24.3% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Dec 31, 2023 (growth of 269.4%); the low point was the quarter ended Dec 31, 2022 (a decline of 92.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $22.47 million (quarter ended Mar 31, 2026), $21.09 million (quarter ended Dec 31, 2025) and $20.47 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn |
| 10 | Verano Holdings | 808.33 Mn | 481.94 Mn | 99.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.00 Mn |
| Mar 31, 2026 | 22.47 Mn |
| Dec 31, 2025 | 21.09 Mn |
| Sep 30, 2025 | 20.47 Mn |
| Jun 30, 2025 | 21.01 Mn |
| Mar 31, 2025 | 14.51 Mn |
| Dec 31, 2024 | 15.15 Mn |
| Sep 30, 2024 | 15.36 Mn |
| Jun 30, 2024 | 13.68 Mn |
| Mar 31, 2024 | 16.45 Mn |
| Dec 31, 2023 | 14.44 Mn |
| Sep 30, 2023 | 14.51 Mn |
| Jun 30, 2023 | 16.56 Mn |
| Mar 31, 2023 | 24.39 Mn |
| Dec 31, 2022 | 3.91 Mn |
| Sep 30, 2022 | 28.42 Mn |
| Jun 30, 2022 | 37.70 Mn |
| Mar 31, 2022 | 59.64 Mn |
| Dec 31, 2021 | 49.02 Mn |
| Sep 30, 2021 | 40.28 Mn |
RLX Technology 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=RLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RLX", "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=RLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();