Diebold Nixdorf (DBD) Receivables (2009 - 2026)
Diebold Nixdorf's Receivables was $573.4 million in Q2 2026, down 4.3% from $599.4 million a year earlier and down 4.0% from the prior quarter.
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Analysis
Diebold Nixdorf (DBD) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Diebold Nixdorf came in at $609.4 million, up 3.6% from FY2024.
- Receivables shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier years, Receivables was $588.5 million in FY2024 (-18.5%), $721.8 million in FY2023 (+14.4%), $631.1 million in FY2022 (+5.3%) and $599.1 million in FY2021 (-8.1%).
- The Q2 2026 figure marks the lowest quarterly Receivables since Q3 2022.
- Compared with a year earlier, Receivables was higher in 1 of the last seven quarters, with an average decline of 7.1%.
- The best year-over-year quarter for Receivables over five years was Q4 2023 (growth of 14.4%); the worst was Q3 2022 (a decline of 19.9%).
- Per Business Quant data, DBD's Receivables in the three quarters before Q2 2026 was $597 million (Q1 2026), $609.4 million (Q4 2025) and $580.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,105.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 565.65 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 337.79 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 183.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 824.11 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 598.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 130.98 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 218.88 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 253.00 Mn |
| 10 | Diebold Nixdorf | 2.07 Bn | 741.27 Mn | 239.60 Mn | 573.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 573.40 Mn |
| Mar 31, 2026 | 597.00 Mn |
| Dec 31, 2025 | 609.40 Mn |
| Sep 30, 2025 | 580.10 Mn |
| Jun 30, 2025 | 599.40 Mn |
| Mar 31, 2025 | 602.60 Mn |
| Dec 31, 2024 | 588.50 Mn |
| Sep 30, 2024 | 665.40 Mn |
| Jun 30, 2024 | 650.00 Mn |
| Mar 31, 2024 | 660.70 Mn |
| Dec 31, 2023 | 721.80 Mn |
| Sep 30, 2023 | 703.80 Mn |
| Jun 30, 2023 | 655.90 Mn |
| Mar 31, 2023 | 627.10 Mn |
| Dec 31, 2022 | 631.10 Mn |
| Sep 30, 2022 | 541.30 Mn |
| Jun 30, 2022 | 565.80 Mn |
| Mar 31, 2022 | 552.40 Mn |
| Dec 31, 2021 | 599.10 Mn |
| Sep 30, 2021 | 676.20 Mn |
API Access
Diebold Nixdorf Receivables 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=receivables&ticker=DBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();