Hesai (HSAI) Accumulated Expenses (2021 - 2026)
Hesai (HSAI) reported Accumulated Expenses of $55.56 million for the quarter ended Mar 31, 2026, up 11.8% from $49.71 million a year earlier but down 31.9% from the prior quarter.
Hesai (HSAI) Accumulated Expenses (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, Hesai posted Accumulated Expenses of $82.72 million, up 16.9% from the prior year.
- Accumulated Expenses has increased for three consecutive years, with a four-year compound annual growth rate of 9.5% (years ended Dec 2021 to Dec 2025).
- By year, Accumulated Expenses came in at $70.79 million in the year ended Dec 31, 2024 (+0.9%), $70.19 million in the year ended Dec 31, 2023 (+35.8%), $51.69 million in the year ended Dec 31, 2022 (-10.1%) and $57.49 million in the year ended Dec 31, 2021.
- Five-year quarterly Accumulated Expenses spans a low of $34.02 million in the quarter ended Mar 31, 2023 and a high of $81.56 million in the quarter ended Dec 31, 2025.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 19.0% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Sep 30, 2024 (growth of 74.8%); the low point was the quarter ended Dec 31, 2022 (a decline of 13.6%).
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2026 came in at $81.56 million (quarter ended Dec 31, 2025), $65.32 million (quarter ended Sep 30, 2025) and $51.08 million (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,099.23 Bn | 4,846.72 Bn | 54.77 Bn |
| 2 | Cisco Systems | 419.26 Bn | 355.18 Bn | 11.06 Bn |
| 3 | Dell Technologies | 296.86 Bn | 252.62 Bn | 9.83 Bn |
| 4 | Arista Networks | 220.82 Bn | 174.27 Bn | 1.91 Bn |
| 5 | Sandisk | 189.16 Bn | 177.68 Bn | 7.58 Bn |
| 6 | Sony | 155.47 Bn | 92.73 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 142.58 Bn | 137.57 Bn | 1.90 Bn |
| 8 | Western Digital | 121.84 Bn | 109.96 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 76.34 Bn | 54.22 Bn | 4.93 Bn |
| 10 | Hesai | 1.82 Bn | -1.70 Bn | 50.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 55.56 Mn |
| Dec 31, 2025 | 82.69 Mn |
| Sep 30, 2025 | 65.32 Mn |
| Jun 30, 2025 | 51.08 Mn |
| Mar 31, 2025 | 49.71 Mn |
| Dec 31, 2024 | 70.80 Mn |
| Sep 30, 2024 | 63.87 Mn |
| Jun 30, 2024 | 56.66 Mn |
| Mar 31, 2024 | 49.09 Mn |
| Dec 31, 2023 | 70.12 Mn |
| Sep 30, 2023 | 36.55 Mn |
| Jun 30, 2023 | 36.74 Mn |
| Mar 31, 2023 | 34.02 Mn |
| Dec 31, 2022 | 51.20 Mn |
| Dec 31, 2021 | 58.20 Mn |
Hesai 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=HSAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "HSAI", "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=HSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();