Barclays Bank (DJP) Return on Sales [ROS] (2014 - 2022)
Barclays Bank's Return on Sales [ROS] came in at 105.40% for FY2025, down 19.52 percentage points from 124.93% in FY2024.
Analysis
Barclays Bank (DJP) Return on Sales [ROS] (2014 - 2022) Analysis & Trends
Going back to FY2009, Barclays Bank's Return on Sales [ROS] data covers 17 years.
- Return on Sales [ROS] carries a five-year change of -64.52 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Return on Sales [ROS] since FY2022.
- Per Business Quant, earlier years put Return on Sales [ROS] at 124.93% in FY2024 (+5.42 pp), 119.50% in FY2023 (+57.68 pp), 61.82% in FY2022 (-28.08 pp) and 89.91% in FY2021 (-80.02 pp).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 95.65% |
| Mar 31, 2022 | 97.83% |
| Jun 30, 2021 | 114.98% |
| Mar 31, 2021 | 99.07% |
| Jun 30, 2018 | 232.41% |
| Mar 31, 2018 | 107.13% |
| Dec 31, 2016 | -52.03% |
| Sep 30, 2016 | 501.50% |
| Jun 30, 2016 | 602.14% |
| Mar 31, 2016 | 551.04% |
| Dec 31, 2015 | 502.90% |
| Sep 30, 2015 | 565.78% |
| Jun 30, 2015 | 703.91% |
| Mar 31, 2015 | 552.86% |
| Dec 31, 2014 | 503.80% |
API Access
Barclays Bank 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=DJP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DJP", "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=DJP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();