Geo (GEO) Long-Term Debt Repayments (2009 - 2026)
Geo (GEO) reported Long-Term Debt Repayments of $331,000 for Q2 2026, down 98.6% from $24.1 million a year earlier and down 7.0% from the prior quarter.
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Analysis
Geo (GEO) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Geo's Long-Term Debt Repayments came in at $298.2 million, up 99.7% year-over-year; for FY2025, it was $322.2 million, down 83.3% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -17.0% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $1.93 billion in FY2024 (+824.6%), $208.39 million in FY2023 (-69.4%), $680.85 million in FY2022 (+89.0%) and $360.3 million in FY2021 (-55.9%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $328,000 in Q4 2025 and a high of $1.78 billion in Q2 2024.
- Year over year, Long-Term Debt Repayments has now declined in each of the last three quarters, with growth averaging 4.1% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2022 (growth of 619.8%); the low point was Q4 2021 (a decline of 99.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $356,000 (Q1 2026), $328,000 (Q4 2025) and $297.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 154.08 Bn | 113.36 Bn | 6.13 Bn | - |
| 2 | Cintas | 89.77 Bn | 88.85 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.33 Bn | 31.52 Bn | 1.07 Bn | 6.75 Bn |
| 4 | APi | 17.01 Bn | 14.05 Bn | 703.00 Mn | 302.00 Mn |
| 5 | Rollins | 16.75 Bn | 16.29 Bn | 569.95 Mn | - |
| 6 | Gartner | 15.21 Bn | 8.90 Bn | 1.19 Bn | - |
| 7 | UL Solutions | 15.04 Bn | 13.80 Bn | 417.00 Mn | 57.00 Mn |
| 8 | Aramark | 14.00 Bn | 11.94 Bn | 430.34 Mn | 11.63 Mn |
| 9 | Rentokil Initial | 11.55 Bn | 5.07 Bn | - | - |
| 10 | Geo | 3.47 Bn | 3.08 Bn | - | 331,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 331,000.00 |
| Mar 31, 2026 | 356,000.00 |
| Dec 31, 2025 | 328,000.00 |
| Sep 30, 2025 | 297.18 Mn |
| Jun 30, 2025 | 24.10 Mn |
| Mar 31, 2025 | 592,000.00 |
| Dec 31, 2024 | 52.90 Mn |
| Sep 30, 2024 | 71.77 Mn |
| Jun 30, 2024 | 1.78 Bn |
| Mar 31, 2024 | 23.25 Mn |
| Dec 31, 2023 | 77.03 Mn |
| Sep 30, 2023 | 25.27 Mn |
| Jun 30, 2023 | 57.82 Mn |
| Mar 31, 2023 | 48.27 Mn |
| Dec 31, 2022 | 9.11 Mn |
| Sep 30, 2022 | 618.76 Mn |
| Jun 30, 2022 | 53.45 Mn |
| Mar 31, 2022 | 5.21 Mn |
| Dec 31, 2021 | 17.15 Mn |
| Sep 30, 2021 | 4.09 Mn |
API Access
Geo 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=GEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "GEO", "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=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();