Diebold Nixdorf (DBD) Total Non-Current Liabilities (2009 - 2026)
Diebold Nixdorf's Total Non-Current Liabilities came in at $2.56 billion for Q3 2026, up 2.9% from $2.49 billion a year earlier but down 1.7% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Diebold Nixdorf's Total Non-Current Liabilities was $2.63 billion, up 5.5% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.49 billion in FY2024 (-18.4%), $3.06 billion in FY2023 (-30.3%), $4.38 billion in FY2022 (+0.9%) and $4.34 billion in FY2021 (-1.9%).
- The five-year range for quarterly Total Non-Current Liabilities is $2.49 billion (Q3 2025) to $4.38 billion (Q4 2022).
- Year-over-year, Total Non-Current Liabilities has increased for four consecutive quarters, with an average decline of 3.8% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2025 (growth of 5.5%), and the weakest in Q4 2023 (a decline of 30.3%).
- Business Quant data shows DBD's Total Non-Current Liabilities at $2.6 billion (Q2 2026), $2.66 billion (Q1 2026) and $2.63 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.06 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 531.84 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 2.16 Bn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 3.17 Bn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 2.24 Bn |
| 10 | Diebold Nixdorf | 1.97 Bn | 716.51 Mn | 247.20 Mn | 2.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.56 Bn |
| Jun 30, 2026 | 2.60 Bn |
| Mar 31, 2026 | 2.66 Bn |
| Dec 31, 2025 | 2.63 Bn |
| Sep 30, 2025 | 2.49 Bn |
| Jun 30, 2025 | 2.52 Bn |
| Mar 31, 2025 | 2.60 Bn |
| Dec 31, 2024 | 2.49 Bn |
| Sep 30, 2024 | 2.73 Bn |
| Jun 30, 2024 | 2.76 Bn |
| Mar 31, 2024 | 2.83 Bn |
| Dec 31, 2023 | 3.06 Bn |
| Sep 30, 2023 | 2.91 Bn |
| Jun 30, 2023 | 5.52 Bn |
| Mar 31, 2023 | 4.54 Bn |
| Dec 31, 2022 | 4.38 Bn |
| Sep 30, 2022 | 4.11 Bn |
| Jun 30, 2022 | 4.30 Bn |
| Mar 31, 2022 | 4.33 Bn |
| Dec 31, 2021 | 4.34 Bn |
API Access
Diebold Nixdorf Total Non-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-non-current-liabilities&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();