Zrcn (ZRCN) Operating Expenses (2021 - 2026)
Analysis
Zrcn (ZRCN) Operating Expenses (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | 3.54 Mn |
| Dec 31, 2025 | 3.88 Mn |
| Sep 30, 2025 | 3.32 Mn |
| Jun 30, 2025 | 3.02 Mn |
| Mar 31, 2025 | 3.81 Mn |
| Dec 31, 2024 | 3.44 Mn |
| Sep 30, 2024 | 3.56 Mn |
| Jun 30, 2024 | 2.79 Mn |
| Dec 31, 2023 | 3.15 Mn |
| Sep 30, 2023 | 3.26 Mn |
| Jun 30, 2023 | 3.29 Mn |
| Dec 31, 2022 | 2.83 Mn |
| Sep 30, 2022 | 3.12 Mn |
| Jun 30, 2022 | 2.76 Mn |
| Mar 31, 2022 | 39,169.00 |
| Dec 31, 2021 | 263,526.00 |
| Sep 30, 2021 | 362,796.00 |
| Jun 30, 2021 | 101,055.00 |
| Mar 31, 2021 | 116,517.00 |
API Access
Zrcn 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=ZRCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ZRCN", "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=ZRCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();