Hsbc Holdings (HSBC) Return on Sales [ROS] (2009 - 2025)
Hsbc Holdings (HSBC) reported Return on Sales [ROS] of 48.15% for Q3 2026, up 10.46 percentage points from 37.69% a year earlier but down 4.10 percentage points from the prior quarter.
Hsbc Holdings (HSBC) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Hsbc Holdings' Return on Sales [ROS] came in at 59.94%, down 790.71 percentage points year-over-year; for FY2025, it came in at 37.33%, down 522.72 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -119.85 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 560.05% in FY2024 (-26.15 pp), 586.20% in FY2023 (+258.84 pp), 327.36% in FY2022 (+298.02 pp) and 29.33% in FY2021 (-127.85 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 30.38% in Q4 2022 and a high of 4103.53% in Q1 2022.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of -436.54 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 3816.09 percentage points); the low point was Q1 2023 (a drop of 4027.93 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 52.25% (Q2 2026), 380.62% (Q1 2026) and 37.48% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Yr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 93.45% |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 102.71% |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 37.33% |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 144.85% |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 100.46% |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 152.13% |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 77.69% |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 42.08% |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 30.50% |
| 10 | Toronto Dominion Bank | 211.21 Bn | -464.66 Bn | - | 6.79% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 37.33% |
| Dec 31, 2024 | 560.05% |
| Dec 31, 2023 | 586.20% |
| Dec 31, 2022 | 327.36% |
| Dec 31, 2021 | 29.33% |
| Dec 31, 2020 | 157.18% |
| Dec 31, 2019 | 197.79% |
| Dec 31, 2018 | 327.81% |
| Dec 31, 2017 | 658.17% |
| Dec 31, 2016 | 120.85% |
| Dec 31, 2015 | 26.38% |
| Dec 31, 2013 | 32.71% |
| Dec 31, 2012 | 27.86% |
| Dec 31, 2011 | 127.61% |
| Dec 31, 2010 | 39.33% |
| Dec 31, 2009 | 12.78% |
Hsbc Holdings 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-annual&ticker=HSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]-annual", "ticker": "HSBC", "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-annual&ticker=HSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();