Diebold Nixdorf (DBD) EBIT (2009 - 2026)
Diebold Nixdorf (DBD) posted EBIT of $57.4 million for Q2 2026, up 2.1% from $56.2 million a year earlier and up 75.5% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Diebold Nixdorf was $246.3 million, up 42.0% year-over-year; for FY2025, it was $242 million, up 32.9% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 58.8% (FY2020 to FY2025).
- In prior years, Diebold Nixdorf's EBIT was $182.1 million in FY2024 (+97.1%), $92.4 million in FY2023, -$211.7 million in FY2022 and $137.1 million in FY2021 (+471.3%).
- Quarterly EBIT has run from a low of -$91.5 million in Q2 2022 to a high of $82.4 million in Q4 2025 over five years.
- On a year-over-year basis, EBIT has increased in each of the last four quarters, with growth averaging 29.3% over the last six quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q4 2021, with growth of 764.9%; the weakest was Q3 2022, with a decline of 85.8%.
- According to Business Quant data, EBIT for the three prior quarters was $32.7 million (Q1 2026), $82.4 million (Q4 2025) and $73.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 275.02 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 4.88 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 152.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 166.51 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 132.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 33.95 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 66.23 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 76.00 Mn |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 57.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.40 Mn |
| Mar 31, 2026 | 32.70 Mn |
| Dec 31, 2025 | 82.40 Mn |
| Sep 30, 2025 | 73.80 Mn |
| Jun 30, 2025 | 56.20 Mn |
| Mar 31, 2025 | 29.60 Mn |
| Dec 31, 2024 | 41.20 Mn |
| Sep 30, 2024 | 46.40 Mn |
| Jun 30, 2024 | 70.70 Mn |
| Mar 31, 2024 | 23.80 Mn |
| Sep 30, 2023 | 36.90 Mn |
| Jun 30, 2023 | -3.90 Mn |
| Mar 31, 2023 | -2.10 Mn |
| Dec 31, 2022 | -42.30 Mn |
| Sep 30, 2022 | 5.50 Mn |
| Jun 30, 2022 | -91.50 Mn |
| Mar 31, 2022 | -83.40 Mn |
| Dec 31, 2021 | 49.30 Mn |
| Sep 30, 2021 | 38.70 Mn |
| Jun 30, 2021 | 12.90 Mn |
API Access
Diebold Nixdorf EBIT 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=ebit&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();