Invesco DB Commodity Index Tracking Fund (DBC) Return on Sales [ROS] (2015 - 2026)
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Analysis
Invesco DB Commodity Index Tracking Fund (DBC) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.39% |
| Mar 31, 2026 | 75.85% |
| Dec 31, 2025 | 78.47% |
| Sep 30, 2025 | 80.59% |
| Jun 30, 2025 | 79.83% |
| Mar 31, 2025 | 80.79% |
| Dec 31, 2024 | 82.72% |
| Sep 30, 2024 | 84.42% |
| Jun 30, 2024 | 84.05% |
| Mar 31, 2024 | 84.95% |
| Dec 31, 2023 | 84.80% |
| Sep 30, 2023 | 84.84% |
| Jun 30, 2023 | 83.40% |
| Mar 31, 2023 | 82.12% |
| Dec 31, 2022 | 74.49% |
| Sep 30, 2022 | 54.79% |
| Jun 30, 2022 | -15.16% |
| Mar 31, 2022 | -747.89% |
| Dec 31, 2021 | -2,857.11% |
| Sep 30, 2021 | -2,746.61% |
API Access
Invesco DB Commodity Index Tracking Fund Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DBC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=DBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();