Diebold Nixdorf (DBD) Other Accumulated Expenses (2009 - 2026)
Diebold Nixdorf (DBD) reported Other Accumulated Expenses of $285.8 million for Q3 2026, down 14.0% from $332.4 million a year earlier and down 4.0% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Diebold Nixdorf posted Other Accumulated Expenses of $283 million, down 9.4% from FY2024.
- Other Accumulated Expenses has declined for five consecutive years, with a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $312.2 million in FY2024 (-1.1%), $315.8 million in FY2023 (-12.9%), $362.4 million in FY2022 (-12.1%) and $412.3 million in FY2021 (-16.6%).
- Five-year quarterly Other Accumulated Expenses spans a low of $251.8 million in Q1 2025 and a high of $471.5 million in Q1 2022.
- Year over year, Other Accumulated Expenses gained in 1 of the last eight quarters, with an average decline of 1.4%.
- The high point for year-over-year Other Accumulated Expenses in five years was Q1 2026 (growth of 57.4%); the low point was Q1 2025 (a decline of 28.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $297.7 million (Q2 2026), $396.4 million (Q1 2026) and $283 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn |
| 10 | Diebold Nixdorf | 1.97 Bn | 716.51 Mn | 247.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 285.80 Mn |
| Jun 30, 2026 | 297.70 Mn |
| Mar 31, 2026 | 396.40 Mn |
| Dec 31, 2025 | 283.00 Mn |
| Sep 30, 2025 | 332.40 Mn |
| Jun 30, 2025 | 331.10 Mn |
| Mar 31, 2025 | 251.80 Mn |
| Dec 31, 2024 | 312.20 Mn |
| Sep 30, 2024 | 342.60 Mn |
| Jun 30, 2024 | 339.60 Mn |
| Mar 31, 2024 | 353.20 Mn |
| Dec 31, 2023 | 315.80 Mn |
| Sep 30, 2023 | 391.20 Mn |
| Jun 30, 2023 | 348.30 Mn |
| Mar 31, 2023 | 405.70 Mn |
| Dec 31, 2022 | 362.40 Mn |
| Sep 30, 2022 | 402.70 Mn |
| Jun 30, 2022 | 446.80 Mn |
| Mar 31, 2022 | 471.50 Mn |
| Dec 31, 2021 | 412.30 Mn |
API Access
Diebold Nixdorf Other Accumulated Expenses 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=other-accumulated-expenses&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();