Xerox Holdings (XRX) Long-Term Debt Repayments (2015 - 2026)
Xerox Holdings (XRX) reported Long-Term Debt Repayments of $60 million for Q2 2026, down 74.6% from $236 million a year earlier and down 68.6% from the prior quarter.
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Analysis
Xerox Holdings (XRX) Long-Term Debt Repayments (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Xerox Holdings' Long-Term Debt Repayments came in at $663 million, up 42.9% year-over-year; for FY2025, it came in at $755 million, down 23.9% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -19.4% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $992 million in FY2024 (-47.1%), $1.87 billion in FY2023 (+8.8%), $1.72 billion in FY2022 (+232.0%) and $519 million in FY2021 (-76.7%).
- The Q2 2026 figure ranks as the lowest quarterly Long-Term Debt Repayments since Q3 2024.
- Year over year, Long-Term Debt Repayments gained in two of the last eight quarters, with growth averaging 54.7%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2025 (growth of 714.3%); the low point was Q4 2021 (a decline of 93.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $191 million (Q1 2026), $70 million (Q4 2025) and $342 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | - |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 6.75 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 302.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | - |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 57.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 11.63 Mn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | Xerox Holdings | 361.27 Mn | -1.71 Bn | 688.00 Mn | 60.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.00 Mn |
| Mar 31, 2026 | 191.00 Mn |
| Dec 31, 2025 | 70.00 Mn |
| Sep 30, 2025 | 342.00 Mn |
| Jun 30, 2025 | 236.00 Mn |
| Mar 31, 2025 | 107.00 Mn |
| Dec 31, 2024 | 79.00 Mn |
| Sep 30, 2024 | 42.00 Mn |
| Jun 30, 2024 | 301.00 Mn |
| Mar 31, 2024 | 570.00 Mn |
| Dec 31, 2023 | 877.00 Mn |
| Sep 30, 2023 | 171.00 Mn |
| Jun 30, 2023 | 374.00 Mn |
| Mar 31, 2023 | 452.00 Mn |
| Dec 31, 2022 | 464.00 Mn |
| Sep 30, 2022 | 126.00 Mn |
| Jun 30, 2022 | 487.00 Mn |
| Mar 31, 2022 | 646.00 Mn |
| Dec 31, 2021 | 74.00 Mn |
| Sep 30, 2021 | 236.00 Mn |
API Access
Xerox Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=XRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "XRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=XRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();