Quality Industrial (QIND) Assets (2019 - 2025)
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Analysis
Quality Industrial (QIND) Assets (2019 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 16.62 Mn |
| Sep 30, 2025 | 19.97 Mn |
| Mar 31, 2025 | 18.30 Mn |
| Dec 31, 2024 | 18.11 Mn |
| Sep 30, 2024 | 17.06 Mn |
| Jun 30, 2024 | 16.50 Mn |
| Mar 31, 2024 | 17.23 Mn |
| Dec 31, 2023 | 8.84 Mn |
| Sep 30, 2023 | 216.24 Mn |
| Jun 30, 2023 | 205.20 Mn |
| Mar 31, 2023 | 200.02 Mn |
| Dec 31, 2022 | 1.01 Mn |
| Sep 30, 2022 | 38.45 Mn |
| Jun 30, 2022 | 18.24 Mn |
| Mar 31, 2022 | 16,180.00 |
| Dec 31, 2021 | 226,130.00 |
| Sep 30, 2021 | 193,537.00 |
| Jun 30, 2021 | 218,450.00 |
| Mar 31, 2021 | 200,925.00 |
| Dec 31, 2020 | 207,064.00 |
API Access
Quality Industrial Assets 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=assets&ticker=QIND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "QIND", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=QIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();