Fidelity D & D Bancorp (FDBC) Return on Sales [ROS] (2010 - 2026)
Fidelity D & D Bancorp (FDBC) reported Return on Sales [ROS] of 415.43% for Q2 2026, down 14.76 percentage points from 430.19% a year earlier but up 41.92 percentage points from the prior quarter.
Fidelity D & D Bancorp (FDBC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fidelity D & D Bancorp's Return on Sales [ROS] came in at 419.81%, down 4.50 percentage points year-over-year; for FY2025, it came in at 437.45%, up 20.51 percentage points from FY2024.
- Return on Sales [ROS] has increased for five consecutive years, with a five-year change of +237.46 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 416.94% in FY2024 (+88.90 pp), 328.04% in FY2023 (+27.28 pp), 300.76% in FY2022 (+57.84 pp) and 242.92% in FY2021 (+42.93 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 191.38% in Q3 2021 and a high of 463.74% in Q3 2025.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of +26.37 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2024 (a gain of 186.44 percentage points); the low point was Q4 2023 (a drop of 95.24 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 373.50% (Q1 2026), 433.39% (Q4 2025) and 463.74% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 84.05% |
| 10 | Fidelity D & D Bancorp | 315.46 Mn | -337.42 Mn | - | 415.43% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 415.43% |
| Mar 31, 2026 | 373.50% |
| Dec 31, 2025 | 433.39% |
| Sep 30, 2025 | 463.74% |
| Jun 30, 2025 | 430.19% |
| Mar 31, 2025 | 422.58% |
| Dec 31, 2024 | 439.30% |
| Sep 30, 2024 | 405.33% |
| Jun 30, 2024 | 414.23% |
| Mar 31, 2024 | 409.19% |
| Dec 31, 2023 | 252.86% |
| Sep 30, 2023 | 398.85% |
| Jun 30, 2023 | 325.85% |
| Mar 31, 2023 | 338.53% |
| Dec 31, 2022 | 348.10% |
| Sep 30, 2022 | 308.16% |
| Jun 30, 2022 | 290.75% |
| Mar 31, 2022 | 259.59% |
| Dec 31, 2021 | 278.00% |
| Sep 30, 2021 | 191.38% |
Fidelity D & D Bancorp 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=FDBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FDBC", "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=FDBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();