Electromedical Technologies (EMED) Selling, General & Administrative (2019 - 2024)
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Analysis
Electromedical Technologies (EMED) Selling, General & Administrative (2019 - 2024) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 411,683.00 |
| Jun 30, 2024 | 425,100.00 |
| Mar 31, 2024 | 372,263.00 |
| Dec 31, 2023 | 493,915.00 |
| Sep 30, 2023 | 490,205.00 |
| Jun 30, 2023 | 573,838.00 |
| Mar 31, 2023 | 1.55 Mn |
| Dec 31, 2022 | 590,261.00 |
| Sep 30, 2022 | 558,919.00 |
| Jun 30, 2022 | 463,179.00 |
| Mar 31, 2022 | 879,810.00 |
| Dec 31, 2021 | 1.69 Mn |
| Sep 30, 2021 | 454,997.00 |
| Jun 30, 2021 | 677,871.00 |
| Mar 31, 2021 | 1.69 Mn |
| Dec 31, 2020 | -57,934.00 |
| Sep 30, 2020 | 2.24 Mn |
| Jun 30, 2020 | 936,669.00 |
| Mar 31, 2020 | 588,150.00 |
| Dec 31, 2019 | 661,819.00 |
API Access
Electromedical Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=EMED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "EMED", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=EMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();