Hesai (HSIGF) Operating Expenses (2021 - 2026)
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Analysis
Hesai (HSIGF) Operating Expenses (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.56 Mn |
| Mar 31, 2026 | 39.81 Mn |
| Dec 31, 2025 | 44.12 Mn |
| Sep 30, 2025 | 36.18 Mn |
| Jun 30, 2025 | 38.76 Mn |
| Mar 31, 2025 | 34.82 Mn |
| Dec 31, 2024 | 23.90 Mn |
| Sep 30, 2024 | 47.70 Mn |
| Jun 30, 2024 | 41.64 Mn |
| Mar 31, 2024 | 38.46 Mn |
| Dec 31, 2023 | 55.54 Mn |
| Sep 30, 2023 | 41.58 Mn |
| Jun 30, 2023 | 33.74 Mn |
| Mar 31, 2023 | 42.32 Mn |
| Dec 31, 2022 | 38.12 Mn |
| Sep 30, 2022 | 33.02 Mn |
| Jun 30, 2022 | 29.31 Mn |
| Mar 31, 2022 | 26.49 Mn |
| Dec 31, 2021 | 34.71 Mn |
API Access
Hesai Operating 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=operating-expenses&ticker=HSIGF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HSIGF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HSIGF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();