Diebold Nixdorf (DBD) Accounts Payables (2009 - 2026)
Diebold Nixdorf (DBD) posted Accounts Payables of $506.2 million for Q2 2026, up 17.4% from $431.3 million a year earlier and up 4.9% from the prior quarter.
Diebold Nixdorf (DBD) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Diebold Nixdorf's Accounts Payables came in at $431.1 million, down 6.3% from FY2024.
- Annual Accounts Payables has declined for four consecutive years, with a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- In prior years, Diebold Nixdorf's Accounts Payables was $460.2 million in FY2024 (-13.0%), $529 million in FY2023 (-13.5%), $611.6 million in FY2022 (-13.4%) and $706.3 million in FY2021 (+41.3%).
- The Q2 2026 figure stands as the highest quarterly Accounts Payables since Q1 2024.
- On a year-over-year basis, Accounts Payables increased in two of the last seven quarters, with an average decline of 3.8%.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q4 2021, with growth of 41.3%; the weakest was Q1 2025, with a decline of 16.2%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $482.6 million (Q1 2026), $431.1 million (Q4 2025) and $461.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 67,133.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 35.98 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 41.24 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 40.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 34.91 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 195.30 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 16.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 30.73 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 44.00 Mn |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 506.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 506.20 Mn |
| Mar 31, 2026 | 482.60 Mn |
| Dec 31, 2025 | 431.10 Mn |
| Sep 30, 2025 | 461.70 Mn |
| Jun 30, 2025 | 431.30 Mn |
| Mar 31, 2025 | 449.50 Mn |
| Dec 31, 2024 | 460.20 Mn |
| Sep 30, 2024 | 479.00 Mn |
| Jun 30, 2024 | 489.80 Mn |
| Mar 31, 2024 | 536.60 Mn |
| Dec 31, 2023 | 529.00 Mn |
| Sep 30, 2023 | 528.90 Mn |
| Jun 30, 2023 | 504.10 Mn |
| Mar 31, 2023 | 636.40 Mn |
| Dec 31, 2022 | 611.60 Mn |
| Sep 30, 2022 | 623.80 Mn |
| Jun 30, 2022 | 718.10 Mn |
| Mar 31, 2022 | 623.90 Mn |
| Dec 31, 2021 | 706.30 Mn |
| Sep 30, 2021 | 572.70 Mn |
Diebold Nixdorf Accounts Payables 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=accounts-payables&ticker=DBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();