Diebold Nixdorf (DBD) Total Current Liabilities (2009 - 2026)
Diebold Nixdorf's Total Current Liabilities came in at $1.35 billion for Q2 2026, up 6.1% from $1.27 billion a year earlier but down 3.8% from the prior quarter.
Powered by 
Analysis
Diebold Nixdorf (DBD) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Diebold Nixdorf's Total Current Liabilities was $1.37 billion, up 8.3% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $1.27 billion in FY2024 (-10.9%), $1.42 billion in FY2023 (-11.5%), $1.6 billion in FY2022 (-8.3%) and $1.75 billion in FY2021 (+6.1%).
- The five-year range for quarterly Total Current Liabilities is $1.26 billion (Q3 2025) to $3.9 billion (Q3 2022).
- Year-over-year, Total Current Liabilities has increased for three consecutive quarters, with an average decline of 0.8% over the last seven quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2022 (growth of 150.1%), and the weakest in Q4 2023 (a decline of 11.5%).
- Business Quant data shows DBD's Total Current Liabilities at $1.4 billion (Q1 2026), $1.37 billion (Q4 2025) and $1.26 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 1.35 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Bn |
| Mar 31, 2026 | 1.40 Bn |
| Dec 31, 2025 | 1.37 Bn |
| Sep 30, 2025 | 1.26 Bn |
| Jun 30, 2025 | 1.27 Bn |
| Mar 31, 2025 | 1.28 Bn |
| Dec 31, 2024 | 1.27 Bn |
| Sep 30, 2024 | 1.31 Bn |
| Jun 30, 2024 | 1.34 Bn |
| Mar 31, 2024 | 1.42 Bn |
| Dec 31, 2023 | 1.42 Bn |
| Sep 30, 2023 | 1.41 Bn |
| Jun 30, 2023 | 3.09 Bn |
| Mar 31, 2023 | 1.74 Bn |
| Dec 31, 2022 | 1.60 Bn |
| Sep 30, 2022 | 3.90 Bn |
| Jun 30, 2022 | 1.66 Bn |
| Mar 31, 2022 | 1.66 Bn |
| Dec 31, 2021 | 1.75 Bn |
| Sep 30, 2021 | 1.56 Bn |
API Access
Diebold Nixdorf Total Current Liabilities 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=total-current-liabilities&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();