Diebold Nixdorf (DBD) Return on Capital Employed [ROCE] (2010 - 2026)
Diebold Nixdorf's Return on Capital Employed [ROCE] came in at 10.13% for Q2 2026, up 2.93 percentage points from 7.20% a year earlier and up 0.07 percentage points from the prior quarter.
Diebold Nixdorf (DBD) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Diebold Nixdorf's Return on Capital Employed [ROCE] was 10.40%, up 3.36 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last three years, with a five-year change of +9.24 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 7.04% in FY2024 (+2.83 pp), 4.21% in FY2023 (+16.81 pp), -12.59% in FY2022 (-20.07 pp) and 7.48% in FY2021 (+6.32 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q1 2015.
- Year-over-year, Return on Capital Employed [ROCE] has increased for six consecutive quarters, with an average year-over-year change of +2.82 percentage points over the last six quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2021 (a gain of 6.42 percentage points), and the weakest in Q4 2022 (a drop of 22.95 percentage points).
- Business Quant data shows DBD's Return on Capital Employed [ROCE] at 10.05% (Q1 2026), 10.01% (Q4 2025) and 8.13% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 0.82% |
| 10 | Diebold Nixdorf | 2.08 Bn | 752.15 Mn | 239.60 Mn | 10.13% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.13% |
| Mar 31, 2026 | 10.05% |
| Dec 31, 2025 | 10.01% |
| Sep 30, 2025 | 8.13% |
| Jun 30, 2025 | 7.20% |
| Mar 31, 2025 | 8.17% |
| Dec 31, 2024 | 7.41% |
| Sep 30, 2024 | 6.94% |
| Jun 30, 2024 | 4.99% |
| Mar 31, 2024 | 2.08% |
| Sep 30, 2023 | -0.50% |
| Jun 30, 2023 | -27.02% |
| Mar 31, 2023 | -9.77% |
| Dec 31, 2022 | -15.33% |
| Jun 30, 2022 | -5.46% |
| Mar 31, 2022 | 1.00% |
| Dec 31, 2021 | 7.63% |
| Sep 30, 2021 | 4.67% |
| Jun 30, 2021 | 4.06% |
| Mar 31, 2021 | 4.40% |
Diebold Nixdorf Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=DBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();