Rackspace Technology (RXT) Long-Term Debt Repayments (2019 - 2026)
Rackspace Technology (RXT) recorded Long-Term Debt Repayments of $52.7 million in Q2 2026, up 27.9% from $41.2 million a year earlier but down 49.6% from the prior quarter.
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Analysis
Rackspace Technology (RXT) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
On a TTM basis, Rackspace Technology's Long-Term Debt Repayments came in at $288.1 million as of Jun 30, 2026, up 108.2% year-over-year; for FY2025, it came in at $198.2 million, up 21.6% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -32.8% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $163 million in FY2024 (-32.6%), $241.9 million in FY2023 (+260.0%), $67.2 million in FY2022 (-97.7%) and $2.88 billion in FY2021 (+98.4%).
- Quarterly Long-Term Debt Repayments has ranged from $5.7 million in Q3 2021 to $104.5 million in Q1 2026 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments has increased for four consecutive quarters, with growth averaging 43.0% over the last eight quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 411.9% in Q4 2023, against a decline of 99.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $104.5 million (Q1 2026), $54.8 million (Q4 2025) and $76.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | - |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | -626.07 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 700.23 Mn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 140.50 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 180.03 Mn |
| 10 | Rackspace Technology | 719.04 Mn | 309.54 Mn | 114.80 Mn | 66.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.50 Mn |
| Mar 31, 2026 | 126.10 Mn |
| Dec 31, 2025 | 70.80 Mn |
| Sep 30, 2025 | 93.40 Mn |
| Jun 30, 2025 | 60.20 Mn |
| Mar 31, 2025 | 46.30 Mn |
| Dec 31, 2024 | 42.20 Mn |
| Sep 30, 2024 | 62.10 Mn |
| Jun 30, 2024 | 73.90 Mn |
| Mar 31, 2024 | 57.00 Mn |
| Dec 31, 2023 | 117.40 Mn |
| Sep 30, 2023 | 113.90 Mn |
| Jun 30, 2023 | 76.10 Mn |
| Mar 31, 2023 | 36.90 Mn |
| Dec 31, 2022 | 34.90 Mn |
| Sep 30, 2022 | 37.60 Mn |
| Jun 30, 2022 | 33.80 Mn |
| Mar 31, 2022 | 32.90 Mn |
| Dec 31, 2021 | 36.00 Mn |
| Sep 30, 2021 | 38.00 Mn |
API Access
Rackspace Technology 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=RXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RXT", "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=RXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();