Diebold Nixdorf (DBD) Inventory (2009 - 2026)
Diebold Nixdorf's Inventory was $595.9 million in Q2 2026, up 3.8% from $574 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Diebold Nixdorf came in at $521 million, down 1.3% from FY2024.
- Inventory shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In earlier years, Inventory was $528.1 million in FY2024 (-10.5%), $589.8 million in FY2023 (+0.3%), $588.1 million in FY2022 (+8.1%) and $544.2 million in FY2021 (+9.2%).
- Quarterly Inventory has moved between $521 million (Q4 2025) and $666.2 million (Q3 2022) over five years.
- Compared with a year earlier, Inventory was higher in 1 of the last seven quarters, with an average decline of 5.3%.
- The best year-over-year quarter for Inventory over five years was Q1 2022 (growth of 15.2%); the worst was Q1 2025 (a decline of 13.1%).
- Per Business Quant data, DBD's Inventory in the three quarters before Q2 2026 was $553.1 million (Q1 2026), $521 million (Q4 2025) and $599.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 57.03 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 217.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | - |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 185.30 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 595.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 595.90 Mn |
| Mar 31, 2026 | 553.10 Mn |
| Dec 31, 2025 | 521.00 Mn |
| Sep 30, 2025 | 599.70 Mn |
| Jun 30, 2025 | 574.00 Mn |
| Mar 31, 2025 | 553.00 Mn |
| Dec 31, 2024 | 528.10 Mn |
| Sep 30, 2024 | 641.10 Mn |
| Jun 30, 2024 | 632.70 Mn |
| Mar 31, 2024 | 636.10 Mn |
| Dec 31, 2023 | 589.80 Mn |
| Sep 30, 2023 | 666.20 Mn |
| Jun 30, 2023 | 648.30 Mn |
| Mar 31, 2023 | 639.50 Mn |
| Dec 31, 2022 | 588.10 Mn |
| Sep 30, 2022 | 666.20 Mn |
| Jun 30, 2022 | 642.20 Mn |
| Mar 31, 2022 | 620.80 Mn |
| Dec 31, 2021 | 544.20 Mn |
| Sep 30, 2021 | 624.80 Mn |
API Access
Diebold Nixdorf Inventory 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=inventory&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();