Diebold Nixdorf (DBD) Operating Leases (2019 - 2025)
Diebold Nixdorf's Operating Leases came in at $79.1 million for Q1 2025, up 3.7% from the prior quarter.
Powered by 
Analysis
Diebold Nixdorf (DBD) Operating Leases (2019 - 2025) Analysis & Trends
At the end of FY2024, Diebold Nixdorf's Operating Leases was $76.3 million, up 17.2% from FY2023.
- Operating Leases carries a five-year compound annual growth rate of -6.4% (FY2019 to FY2024).
- Going back by year, Operating Leases was $65.1 million in FY2023 (-15.1%), $76.7 million in FY2022 (-25.5%), $103 million in FY2021 (+10.6%) and $93.1 million in FY2020 (-12.5%).
- The Q1 2025 figure represents the highest quarterly Operating Leases since Q4 2021.
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 |
|---|---|
| Mar 31, 2025 | 79.10 Mn |
| Dec 31, 2024 | 76.30 Mn |
| Dec 31, 2023 | 65.10 Mn |
| Dec 31, 2022 | 76.70 Mn |
| Dec 31, 2021 | 103.00 Mn |
| Dec 31, 2020 | 93.10 Mn |
| Dec 31, 2019 | 106.40 Mn |
| Sep 30, 2019 | 106.70 Mn |
| Jun 30, 2019 | 103.20 Mn |
| Mar 31, 2019 | 110.40 Mn |
API Access
Diebold Nixdorf Operating Leases 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=operating-leases&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();