Diebold Nixdorf (DBD) Cash from Restructuring (2018 - 2025)
Diebold Nixdorf (DBD) reported Cash from Restructuring of $24.7 million for FY2025, up 325.9% from $5.8 million in FY2024.
Analysis
Diebold Nixdorf (DBD) Cash from Restructuring (2018 - 2025) Analysis & Trends
Dating back to FY2015, Diebold Nixdorf's Cash from Restructuring record includes 11 years.
- Cash from Restructuring has a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Cash from Restructuring since FY2016.
- According to Business Quant data, Cash from Restructuring came in at $5.8 million in FY2024, -$3.8 million in FY2023, $9.4 million in FY2022 and -$25.4 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
|---|---|
| Jun 30, 2025 | -500,000.00 |
| Mar 31, 2025 | 4.20 Mn |
| Dec 31, 2024 | 1.40 Mn |
| Jun 30, 2024 | -12.90 Mn |
| Mar 31, 2024 | 19.30 Mn |
| Sep 30, 2023 | -1.80 Mn |
| Mar 31, 2023 | -23.40 Mn |
| Dec 31, 2022 | -11.80 Mn |
| Sep 30, 2022 | -18.90 Mn |
| Jun 30, 2022 | 51.60 Mn |
| Mar 31, 2022 | -11.50 Mn |
| Dec 31, 2021 | -3.00 Mn |
| Sep 30, 2021 | -12.30 Mn |
| Jun 30, 2021 | 500,000.00 |
| Mar 31, 2021 | -10.60 Mn |
| Dec 31, 2020 | 26.30 Mn |
| Sep 30, 2020 | 2.50 Mn |
| Jun 30, 2020 | -6.00 Mn |
| Mar 31, 2020 | -4.80 Mn |
| Dec 31, 2019 | 14.40 Mn |
API Access
Diebold Nixdorf Cash from Restructuring 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=cash-from-restructuring&ticker=DBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-restructuring", "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=cash-from-restructuring&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();