First Horizon (FHN) Return on Sales [ROS] (2009 - 2026)
First Horizon's Return on Sales [ROS] was 66.30% in Q2 2026, down 8.65 percentage points from 74.95% a year earlier and down 12.47 percentage points from the prior quarter.
First Horizon (FHN) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Horizon's Return on Sales [ROS] was 254.73% through Jun 30, 2026, down 25.56 percentage points year-over-year; for FY2025, it was 83.18%, down 6.03 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +46.12 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 89.22% in FY2024 (+11.69 pp), 77.53% in FY2023 (+32.32 pp), 45.21% in FY2022 (-1.95 pp) and 47.17% in FY2021 (+10.10 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q1 2023.
- Compared with a year earlier, Return on Sales [ROS] has declined for six straight quarters, with an average year-over-year change of -4.66 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 42.84 percentage points); the worst was Q2 2022 (a drop of 20.98 percentage points).
- Per Business Quant data, FHN's Return on Sales [ROS] in the three quarters before Q2 2026 was 78.77% (Q1 2026), 80.86% (Q4 2025) and 70.94% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | First Horizon | 11.09 Bn | 4.18 Bn | - | 66.30% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.30% |
| Mar 31, 2026 | 78.77% |
| Dec 31, 2025 | 80.86% |
| Sep 30, 2025 | 70.94% |
| Jun 30, 2025 | 74.95% |
| Mar 31, 2025 | 82.27% |
| Dec 31, 2024 | 89.01% |
| Sep 30, 2024 | 80.92% |
| Jun 30, 2024 | 81.45% |
| Mar 31, 2024 | 85.71% |
| Dec 31, 2023 | 80.98% |
| Sep 30, 2023 | 85.99% |
| Jun 30, 2023 | 78.64% |
| Mar 31, 2023 | 65.54% |
| Dec 31, 2022 | 84.69% |
| Sep 30, 2022 | 47.66% |
| Jun 30, 2022 | 35.80% |
| Mar 31, 2022 | 40.40% |
| Dec 31, 2021 | 42.28% |
| Sep 30, 2021 | 45.87% |
First Horizon 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=FHN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FHN", "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=FHN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();