Xpo (XPO) Long-Term Debt Repayments (2010 - 2026)
Xpo's Long-Term Debt Repayments came in at $31 million for Q2 2019, up 40.9% from $22 million a year earlier but down 94.2% from the prior quarter.
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Analysis
Xpo (XPO) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2019, Xpo reported Long-Term Debt Repayments of $625 million, up 496.9% year-over-year; for FY2018, it was $119 million, up 12.3% from FY2017.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of -12.7% (FY2014 to FY2018).
- Going back by year, Long-Term Debt Repayments was $106 million in FY2017 (-29.8%), $151 million in FY2016 (-87.6%), $1.22 billion in FY2015 (+493.0%) and $205 million in FY2014.
- The five-year range for quarterly Long-Term Debt Repayments is -$75 million (Q3 2014) to $759.2 million (Q2 2015).
- Year-over-year, Long-Term Debt Repayments increased in five of the last seven quarters, with growth averaging 8.3%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2019 (growth of 40.9%), and the weakest in Q2 2016 (a decline of 93.7%).
- Business Quant data shows XPO's Long-Term Debt Repayments at $534 million (Q1 2019), $34.3 million (Q4 2018) and $25.7 million (Q3 2018) in the three quarters before Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 334.00 Mn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 7.00 Mn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 39.00 Mn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 254.47 Mn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 606.00 Mn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 1.34 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 1.23 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | - |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 1.45 Bn |
| 10 | Xpo | 21.66 Bn | 20.48 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 50.00 Mn |
| Dec 31, 2025 | 82.00 Mn |
| Sep 30, 2025 | 70.00 Mn |
| Jun 30, 2025 | 18.00 Mn |
| Mar 31, 2025 | 18.00 Mn |
| Dec 31, 2024 | 18.00 Mn |
| Sep 30, 2024 | 25.00 Mn |
| Jun 30, 2024 | 18.00 Mn |
| Mar 31, 2024 | 21.00 Mn |
| Dec 31, 2023 | 135.00 Mn |
| Sep 30, 2023 | 15.00 Mn |
| Jun 30, 2023 | 2.02 Bn |
| Mar 31, 2023 | 16.00 Mn |
| Dec 31, 2022 | 432.00 Mn |
| Sep 30, 2022 | 14.00 Mn |
| Jun 30, 2022 | 667.00 Mn |
| Mar 31, 2022 | 16.00 Mn |
| Dec 31, 2021 | 17.00 Mn |
| Sep 30, 2021 | 1.59 Bn |
| Jun 30, 2021 | 19.00 Mn |
API Access
Xpo 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=XPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "XPO", "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=XPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();