Viomi Technology (VIOT) Accumulated Expenses (2017 - 2026)
Viomi Technology's Accumulated Expenses was $20.47 million in Q2 2026, down 30.2% from $29.33 million a year earlier.
Analysis
Viomi Technology (VIOT) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Viomi Technology came in at $7.6 million, up 282.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -31.8% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $1.99 million in FY2024 (-95.3%), $42.57 million in FY2023 (-4.9%), $44.78 million in FY2022 (-22.0%) and $57.39 million in FY2021 (+11.6%).
- The Q2 2026 figure marks the lowest quarterly Accumulated Expenses since Q4 2024.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last four quarters, with growth averaging 211.8%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2025 (growth of 997.5%); the worst was Q4 2024 (a decline of 91.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn |
| 10 | Viomi Technology | 115.60 Mn | -381.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.47 Mn |
| Dec 31, 2025 | 22.14 Mn |
| Jun 30, 2025 | 29.33 Mn |
| Dec 31, 2024 | 2.02 Mn |
| Jun 30, 2024 | 41.10 Mn |
| Dec 31, 2023 | 23.72 Mn |
| Jun 30, 2023 | 38.02 Mn |
| Dec 31, 2022 | 43.42 Mn |
| Sep 30, 2022 | 40.60 Mn |
| Jun 30, 2022 | 45.15 Mn |
| Mar 31, 2022 | 45.58 Mn |
| Dec 31, 2021 | 57.20 Mn |
| Sep 30, 2021 | 49.92 Mn |
| Jun 30, 2021 | 49.36 Mn |
| Mar 31, 2021 | 39.10 Mn |
| Dec 31, 2020 | 50.62 Mn |
| Sep 30, 2020 | 39.74 Mn |
| Jun 30, 2020 | 40.53 Mn |
| Mar 31, 2020 | 29.38 Mn |
| Dec 31, 2019 | 46.12 Mn |
API Access
Viomi 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=VIOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VIOT", "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=VIOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();