Radiant Logistics (RLGT) Long-Term Debt Repayments (2010 - 2026)
Radiant Logistics (RLGT) recorded Long-Term Debt Repayments of $960,000 in fiscal Q4 2019 (quarter ended Jun 30, 2019), up 14.3% from $840,000 a year earlier and up 0.8% from the prior quarter.
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Analysis
Radiant Logistics (RLGT) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For FY2019 (ended Jun 30, 2019), Radiant Logistics reported Long-Term Debt Repayments of $3.67 million, up 6.6% from FY2018.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -22.1% (FY2014 to FY2019).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $3.45 million in FY2018 (+46.4%), $2.35 million in FY2017 (-91.0%) and $26.29 million in FY2016.
- The fiscal Q4 2019 figure is the highest quarterly Long-Term Debt Repayments since fiscal Q4 2016.
- On a year-over-year basis, Long-Term Debt Repayments has increased for eight consecutive quarters, with growth averaging 26.5% over the last eight quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 51.5% in fiscal Q3 2018, against a decline of 97.7% in fiscal Q4 2017 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $952,000 (Q3 2019), $918,000 (Q2 2019) and $843,000 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 13.00 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 48.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.00 Mn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 4.29 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 1.34 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 11.00 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 1.23 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 1.00 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | - |
| 10 | Radiant Logistics | 415.92 Mn | 290.65 Mn | 66.80 Mn | 67,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67,000.00 |
| Mar 31, 2026 | 73,000.00 |
| Dec 31, 2025 | 71,000.00 |
| Sep 30, 2025 | 71,000.00 |
| Jun 30, 2025 | 362,000.00 |
| Mar 31, 2025 | 195,000.00 |
| Dec 31, 2024 | 192,000.00 |
| Sep 30, 2024 | 168,000.00 |
| Jun 30, 2024 | 813,000.00 |
| Mar 31, 2024 | 1.33 Mn |
| Dec 31, 2023 | 1.31 Mn |
| Sep 30, 2023 | 1.31 Mn |
| Jun 30, 2023 | 1.27 Mn |
| Mar 31, 2023 | 1.24 Mn |
| Dec 31, 2022 | 1.21 Mn |
| Sep 30, 2022 | 1.27 Mn |
| Jun 30, 2022 | 1.29 Mn |
| Mar 31, 2022 | 1.29 Mn |
| Dec 31, 2021 | 1.27 Mn |
| Sep 30, 2021 | 1.26 Mn |
API Access
Radiant Logistics 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=RLGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RLGT", "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=RLGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();