Diebold Nixdorf (DBD) EBITDA (2009 - 2026)
Diebold Nixdorf (DBD) reported EBITDA of $88.2 million for Q2 2026, up 0.9% from $87.4 million a year earlier and up 37.6% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Diebold Nixdorf's EBITDA came in at $370.9 million, up 12.5% year-over-year; for FY2025, it came in at $369.5 million, down 9.1% from FY2024.
- EBITDA has a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- By year, EBITDA came in at $406.6 million in FY2024 (+115.1%), $189 million in FY2023, -$16.1 million in FY2022 and $303.5 million in FY2021 (+149.8%).
- Five-year quarterly EBITDA spans a low of -$55.3 million in Q2 2022 and a high of $125.1 million in Q2 2024.
- Year over year, EBITDA gained in four of the last six quarters, with growth averaging 9.3%.
- The high point for year-over-year EBITDA in five years was Q3 2025 (growth of 95.7%); the low point was Q3 2022 (a decline of 50.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $64.1 million (Q1 2026), $113.1 million (Q4 2025) and $105.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 88.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.20 Mn |
| Mar 31, 2026 | 64.10 Mn |
| Dec 31, 2025 | 113.10 Mn |
| Sep 30, 2025 | 105.50 Mn |
| Jun 30, 2025 | 87.40 Mn |
| Mar 31, 2025 | 85.00 Mn |
| Dec 31, 2024 | 103.30 Mn |
| Sep 30, 2024 | 53.90 Mn |
| Jun 30, 2024 | 125.10 Mn |
| Mar 31, 2024 | 81.30 Mn |
| Sep 30, 2023 | 57.90 Mn |
| Mar 31, 2023 | 40.90 Mn |
| Dec 31, 2022 | 46.20 Mn |
| Sep 30, 2022 | 39.10 Mn |
| Jun 30, 2022 | -55.30 Mn |
| Mar 31, 2022 | -46.10 Mn |
| Dec 31, 2021 | 88.20 Mn |
| Sep 30, 2021 | 79.20 Mn |
| Jun 30, 2021 | 55.90 Mn |
| Mar 31, 2021 | 80.20 Mn |
API Access
Diebold Nixdorf EBITDA 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=ebitda&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();