Pool (POOL) Long-Term Debt Repayments (2009 - 2026)
Pool (POOL) recorded Long-Term Debt Repayments of $120 million in Q2 2026, up 39.2% from $86.2 million a year earlier and up 150.5% from the prior quarter.
Pool (POOL) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Pool's Long-Term Debt Repayments came in at $463.8 million as of Jun 30, 2026, down 22.4% year-over-year; for FY2025, it came in at $473.1 million, down 36.5% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $744.6 million in FY2024 (+32.9%), $560.3 million in FY2023 (+172.7%), $205.5 million in FY2022 (-52.2%) and $430 million in FY2021 (+33.7%).
- Quarterly Long-Term Debt Repayments has ranged from $15 million in Q4 2021 to $282.3 million in Q3 2024 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in three of the last eight quarters, with an average decline of 12.2%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 403.3% in Q4 2022, against a decline of 72.7% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $47.9 million (Q1 2026), $102.7 million (Q4 2025) and $193.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | 2.15 Bn |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | 3.00 Mn |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 365.00 Mn |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | 1.21 Bn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 682.00 Mn |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | 2.80 Bn |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | -3,000.00 |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | 1.18 Mn |
| 10 | Pool | 6.20 Bn | 5.87 Bn | 540.76 Mn | 120.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.00 Mn |
| Mar 31, 2026 | 47.90 Mn |
| Dec 31, 2025 | 27.70 Mn |
| Sep 30, 2025 | 268.20 Mn |
| Jun 30, 2025 | 102.45 Mn |
| Mar 31, 2025 | 107.19 Mn |
| Dec 31, 2024 | 144.55 Mn |
| Sep 30, 2024 | 288.55 Mn |
| Jun 30, 2024 | 192.25 Mn |
| Mar 31, 2024 | 144.25 Mn |
| Dec 31, 2023 | 143.85 Mn |
| Sep 30, 2023 | 188.75 Mn |
| Jun 30, 2023 | 234.10 Mn |
| Mar 31, 2023 | 53.41 Mn |
| Dec 31, 2022 | 77.81 Mn |
| Sep 30, 2022 | 65.50 Mn |
| Jun 30, 2022 | 18.34 Mn |
| Mar 31, 2022 | 53.10 Mn |
| Dec 31, 2021 | 8.31 Mn |
| Sep 30, 2021 | 130.04 Mn |
Pool 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=POOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "POOL", "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=POOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();