Diebold Nixdorf (DBD) Selling, General & Administrative (2009 - 2026)
Diebold Nixdorf (DBD) reported Selling, General & Administrative of $162.3 million for Q2 2026, up 5.3% from $154.2 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Diebold Nixdorf's Selling, General & Administrative came in at $646 million, up 1.6% year-over-year; for FY2025, it was $632.5 million, down 1.7% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $643.6 million in FY2024 (+184.8%), $226 million in FY2023 (-69.5%), $741.6 million in FY2022 (-4.4%) and $775.6 million in FY2021 (-9.7%).
- Five-year quarterly Selling, General & Administrative spans a low of $150.9 million in Q3 2025 and a high of $213.8 million in Q2 2022.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with growth averaging 0.3% over the last six quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2022 (growth of 6.9%); the low point was Q4 2021 (a decline of 24.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $157.2 million (Q1 2026), $175.6 million (Q4 2025) and $150.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 50.59 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 149.70 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 114.00 Mn |
| 10 | Diebold Nixdorf | 2.08 Bn | 752.15 Mn | 239.60 Mn | 162.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.30 Mn |
| Mar 31, 2026 | 157.20 Mn |
| Dec 31, 2025 | 175.60 Mn |
| Sep 30, 2025 | 150.90 Mn |
| Jun 30, 2025 | 154.20 Mn |
| Mar 31, 2025 | 151.80 Mn |
| Dec 31, 2024 | 165.20 Mn |
| Sep 30, 2024 | 164.60 Mn |
| Jun 30, 2024 | 152.20 Mn |
| Mar 31, 2024 | 161.60 Mn |
| Sep 30, 2023 | 81.10 Mn |
| Jun 30, 2023 | 201.00 Mn |
| Mar 31, 2023 | 183.80 Mn |
| Dec 31, 2022 | 183.70 Mn |
| Sep 30, 2022 | 163.10 Mn |
| Jun 30, 2022 | 213.80 Mn |
| Mar 31, 2022 | 181.00 Mn |
| Dec 31, 2021 | 171.90 Mn |
| Sep 30, 2021 | 195.50 Mn |
| Jun 30, 2021 | 204.80 Mn |
API Access
Diebold Nixdorf Selling, General & Administrative 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=selling-general-and-administrative&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();