Diebold Nixdorf (DBD) Return on Sales [ROS] (2009 - 2026)
Diebold Nixdorf's Return on Sales [ROS] came in at 6.17% for Q2 2026, up 0.03 percentage points from 6.14% a year earlier and up 2.50 percentage points from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Diebold Nixdorf reported Return on Sales [ROS] of 6.36%, up 1.64 percentage points year-over-year; for FY2025, it was 6.36%, up 1.50 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +5.74 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 4.85% in FY2024 (-0.82 pp), 5.67% in FY2023 (+11.79 pp), -6.12% in FY2022 (-9.63 pp) and 3.51% in FY2021 (+2.90 pp).
- The five-year range for quarterly Return on Sales [ROS] is -10.74% (Q2 2022) to 7.81% (Q3 2025).
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +0.96 percentage points over the last six quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 4.14 percentage points), and the weakest in Q1 2022 (a drop of 13.89 percentage points).
- Business Quant data shows DBD's Return on Sales [ROS] at 3.67% (Q1 2026), 7.46% (Q4 2025) and 7.81% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 8.22% |
| 10 | Diebold Nixdorf | 2.16 Bn | 826.96 Mn | 239.60 Mn | 6.17% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.17% |
| Mar 31, 2026 | 3.67% |
| Dec 31, 2025 | 7.46% |
| Sep 30, 2025 | 7.81% |
| Jun 30, 2025 | 6.14% |
| Mar 31, 2025 | 3.52% |
| Dec 31, 2024 | 4.17% |
| Sep 30, 2024 | 5.00% |
| Jun 30, 2024 | 7.52% |
| Mar 31, 2024 | 2.66% |
| Sep 30, 2023 | 4.12% |
| Jun 30, 2023 | -0.42% |
| Mar 31, 2023 | -0.24% |
| Dec 31, 2022 | -4.37% |
| Sep 30, 2022 | 0.68% |
| Jun 30, 2022 | -10.74% |
| Mar 31, 2022 | -10.05% |
| Dec 31, 2021 | 4.65% |
| Sep 30, 2021 | 4.04% |
| Jun 30, 2021 | 1.37% |
API Access
Diebold Nixdorf 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=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DBD", "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=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();