Diebold Nixdorf (DBD) Revenue (2009 - 2026)
Diebold Nixdorf (DBD) posted Revenue of $930.8 million for Q2 2026, up 1.7% from $915.2 million a year earlier and up 4.4% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Diebold Nixdorf was $3.87 billion, up 5.4% year-over-year; for FY2025, it came in at $3.81 billion, up 1.5% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Diebold Nixdorf's Revenue was $3.75 billion in FY2024 (+130.3%), $1.63 billion in FY2023 (-52.9%), $3.46 billion in FY2022 (-11.4%) and $3.91 billion in FY2021 (+0.1%).
- Quarterly Revenue has run from a low of $810.4 million in Q3 2022 to a high of $1.1 billion in Q4 2025 over five years.
- On a year-over-year basis, Revenue has increased in each of the last four quarters, with growth averaging 2.1% over the last six quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2025, with growth of 11.7%; the weakest was Q3 2022, with a decline of 15.4%.
- According to Business Quant data, Revenue for the three prior quarters was $891.8 million (Q1 2026), $1.1 billion (Q4 2025) and $945.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 927.96 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 508.44 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.91 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 600.05 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 972.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 298.45 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 297.79 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 925.00 Mn |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 930.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 930.80 Mn |
| Mar 31, 2026 | 891.80 Mn |
| Dec 31, 2025 | 1.10 Bn |
| Sep 30, 2025 | 945.20 Mn |
| Jun 30, 2025 | 915.20 Mn |
| Mar 31, 2025 | 841.10 Mn |
| Dec 31, 2024 | 988.90 Mn |
| Sep 30, 2024 | 927.10 Mn |
| Jun 30, 2024 | 939.70 Mn |
| Mar 31, 2024 | 895.40 Mn |
| Sep 30, 2023 | 895.40 Mn |
| Jun 30, 2023 | 922.20 Mn |
| Mar 31, 2023 | 858.10 Mn |
| Dec 31, 2022 | 968.80 Mn |
| Sep 30, 2022 | 810.40 Mn |
| Jun 30, 2022 | 851.70 Mn |
| Mar 31, 2022 | 829.80 Mn |
| Dec 31, 2021 | 1.06 Bn |
| Sep 30, 2021 | 958.20 Mn |
| Jun 30, 2021 | 943.50 Mn |
API Access
Diebold Nixdorf Revenue 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=revenue&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();