Diebold Nixdorf (DBD) Operating Income (2009 - 2026)
Diebold Nixdorf's Operating Income was $57.4 million in 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) Operating Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Diebold Nixdorf's Operating Income was $246.3 million through Jun 30, 2026, up 42.0% year-over-year; for FY2025, it came in at $242 million, up 32.9% from FY2024.
- Operating Income shows a five-year compound annual growth rate of 58.8% (FY2020 to FY2025).
- In earlier years, Operating Income 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 Operating Income has moved between -$91.5 million (Q2 2022) and $82.4 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Income has increased for four straight quarters, with growth averaging 29.3% over the last six quarters.
- The best year-over-year quarter for Operating Income over five years was Q4 2021 (growth of 764.9%); the worst was Q3 2022 (a decline of 85.8%).
- Per Business Quant data, DBD's Operating Income in the three quarters before Q2 2026 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) | Op. Inc (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 Operating Income 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=operating-income&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();