Diebold Nixdorf (DBD) Shares Outstanding (Entity) (2009 - 2026)
Diebold Nixdorf (DBD) posted Shares Outstanding (Entity) of 34 million for Q2 2026, down 7.7% from 36.86 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Diebold Nixdorf's Shares Outstanding (Entity) came in at 35.38 million, down 5.8% from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of -14.6% (FY2020 to FY2025).
- In prior years, Diebold Nixdorf's Shares Outstanding (Entity) was 37.58 million in FY2024 (unchanged), 37.57 million in FY2023 (-52.5%), 79.1 million in FY2022 (+1.0%) and 78.35 million in FY2021 (+0.9%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) in data going back to Q2 2009.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last six quarters, with an average decline of 3.8% over the last seven quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q4 2022, with growth of 1.0%; the weakest was Q4 2023, with a decline of 52.5%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 34.75 million (Q1 2026), 35.38 million (Q4 2025) and 36.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 161.91 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 585.29 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 577.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 110.72 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 233.20 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 93.53 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 58.30 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 405.20 Mn |
| 10 | Diebold Nixdorf | 2.05 Bn | 719.85 Mn | 239.60 Mn | 34.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.00 Mn |
| Mar 31, 2026 | 34.75 Mn |
| Dec 31, 2025 | 35.38 Mn |
| Sep 30, 2025 | 36.20 Mn |
| Jun 30, 2025 | 36.86 Mn |
| Mar 31, 2025 | 37.46 Mn |
| Dec 31, 2024 | 37.58 Mn |
| Sep 30, 2024 | 37.57 Mn |
| Jun 30, 2024 | 37.57 Mn |
| Mar 31, 2024 | 37.57 Mn |
| Dec 31, 2023 | 37.57 Mn |
| Sep 30, 2023 | 37.57 Mn |
| Jun 30, 2023 | 80.03 Mn |
| Mar 31, 2023 | 79.61 Mn |
| Dec 31, 2022 | 79.10 Mn |
| Sep 30, 2022 | 79.07 Mn |
| Jun 30, 2022 | 79.04 Mn |
| Mar 31, 2022 | 78.93 Mn |
| Dec 31, 2021 | 78.35 Mn |
| Sep 30, 2021 | 78.35 Mn |
API Access
Diebold Nixdorf Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();