Diebold Nixdorf (DBD) Current Debt (2014 - 2024)
Diebold Nixdorf's Current Debt came in at $121 million for FY2022, compared with $900,000 in FY2021.
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Analysis
Diebold Nixdorf (DBD) Current Debt (2014 - 2024) Analysis & Trends
Going back to FY2011, Diebold Nixdorf's Current Debt data covers 12 years.
- Current Debt carries a five-year compound annual growth rate of 10.0% (FY2017 to FY2022).
- The FY2022 figure represents the highest annual Current Debt since FY2015.
- Per Business Quant, earlier years put Current Debt at $900,000 in FY2021 (-98.5%), $60.1 million in FY2020, -$125 million in FY2019 and $50 million in FY2018 (-33.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (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 | - |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | - |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 50.00 Mn |
| Jun 30, 2023 | -22.70 Mn |
| Mar 31, 2023 | 22.70 Mn |
| Dec 31, 2022 | -119.00 Mn |
| Sep 30, 2022 | 48.00 Mn |
| Jun 30, 2022 | 117.00 Mn |
| Mar 31, 2022 | 75.00 Mn |
| Dec 31, 2021 | -187.00 Mn |
| Sep 30, 2021 | 167.00 Mn |
| Jun 30, 2021 | 50.90 Mn |
| Mar 31, 2021 | -30.00 Mn |
| Dec 31, 2020 | -132.00 Mn |
| Sep 30, 2020 | -193.80 Mn |
| Mar 31, 2020 | 385.90 Mn |
| Sep 30, 2019 | -115.00 Mn |
| Jun 30, 2019 | -20.00 Mn |
| Mar 31, 2019 | 10.00 Mn |
| Dec 31, 2018 | -135.00 Mn |
| Sep 30, 2018 | 120.00 Mn |
| Jun 30, 2018 | 140.00 Mn |
API Access
Diebold Nixdorf Current Debt 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=current-debt&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();