Diebold Nixdorf (DBD) EPS (Diluted) (2009 - 2026)
Diebold Nixdorf's EPS (Diluted) came in at $0.44 for Q2 2026, up 35.0% from $0.33 a year earlier and up 213.5% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Diebold Nixdorf reported EPS (Diluted) of $3.15; for FY2025, it was $2.54.
- Going back by year, EPS (Diluted) was -$0.44 in FY2024, $0.36 in FY2023, -$7.36 in FY2022 and -$1.01 in FY2021.
- The five-year range for quarterly EPS (Diluted) is -$2.54 (Q2 2022) to $1.33 (Q4 2025).
- Business Quant data shows DBD's EPS (Diluted) at $0.14 (Q1 2026), $1.33 (Q4 2025) and $1.11 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.66 |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 0.03 |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 0.26 |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.03 |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -2.02 |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 0.66 |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 0.85 |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 0.14 |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 0.44 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.44 |
| Mar 31, 2026 | 0.14 |
| Dec 31, 2025 | 1.33 |
| Sep 30, 2025 | 1.11 |
| Jun 30, 2025 | 0.33 |
| Mar 31, 2025 | -0.22 |
| Dec 31, 2024 | 0.15 |
| Sep 30, 2024 | -0.60 |
| Jun 30, 2024 | 0.40 |
| Mar 31, 2024 | -0.39 |
| Sep 30, 2023 | -0.24 |
| Jun 30, 2023 | -8.46 |
| Mar 31, 2023 | -1.40 |
| Dec 31, 2022 | -1.89 |
| Sep 30, 2022 | -0.63 |
| Jun 30, 2022 | -2.54 |
| Mar 31, 2022 | -2.34 |
| Dec 31, 2021 | -0.49 |
| Sep 30, 2021 | -0.03 |
| Jun 30, 2021 | -0.39 |
API Access
Diebold Nixdorf EPS (Diluted) 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=eps-diluted&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();