Pool (POOL) Short-Term Debt repayments (2009 - 2026)
Pool (POOL) posted Short-Term Debt repayments of $612.2 million for Q2 2026, up 21.9% from $502.3 million a year earlier and up 48.6% from the prior quarter.
Pool (POOL) Short-Term Debt repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Short-Term Debt repayments at Pool was $1.77 billion, up 3.7% year-over-year; for FY2025, it was $1.7 billion, up 7.8% from FY2024.
- Annual Short-Term Debt repayments shows a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In prior years, Pool's Short-Term Debt repayments was $1.58 billion in FY2024 (-13.2%), $1.82 billion in FY2023 (-7.8%), $1.97 billion in FY2022 (+102.2%) and $974.51 million in FY2021 (-14.9%).
- The Q2 2026 figure stands as the highest quarterly Short-Term Debt repayments since Q2 2023.
- On a year-over-year basis, Short-Term Debt repayments increased in four of the last eight quarters, with growth averaging 3.6%.
- The strongest year-over-year quarter for Short-Term Debt repayments in the past five years was Q2 2022, with growth of 166.0%; the weakest was Q3 2021, with a decline of 44.6%.
- According to Business Quant data, Short-Term Debt repayments for the three prior quarters was $412 million (Q1 2026), $308.3 million (Q4 2025) and $433.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.79 Bn | 65.55 Bn | 1.73 Bn | - |
| 2 | W.W. Grainger | 63.72 Bn | 61.32 Bn | 1.98 Bn | - |
| 3 | Fastenal | 60.28 Bn | 59.28 Bn | 1.10 Bn | - |
| 4 | Ferguson Enterprises | 44.38 Bn | 41.59 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 32.28 Bn | 32.16 Bn | 1.25 Bn | - |
| 6 | Reliance | 21.45 Bn | 20.49 Bn | 1.30 Bn | - |
| 7 | Wesco International | 17.03 Bn | 14.34 Bn | 1.46 Bn | - |
| 8 | Applied Industrial Technologies | 12.67 Bn | 12.54 Bn | 411.22 Mn | - |
| 9 | Avantor | 11.71 Bn | 10.50 Bn | 537.00 Mn | - |
| 10 | Pool | 6.22 Bn | 5.89 Bn | 540.76 Mn | 617.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 617.81 Mn |
| Mar 31, 2026 | 412.55 Mn |
| Dec 31, 2025 | 308.42 Mn |
| Sep 30, 2025 | 438.32 Mn |
| Jun 30, 2025 | 513.52 Mn |
| Mar 31, 2025 | 455.08 Mn |
| Dec 31, 2024 | 302.76 Mn |
| Sep 30, 2024 | 451.08 Mn |
| Jun 30, 2024 | 464.90 Mn |
| Mar 31, 2024 | 367.06 Mn |
| Dec 31, 2023 | 318.48 Mn |
| Sep 30, 2023 | 496.10 Mn |
| Jun 30, 2023 | 642.46 Mn |
| Mar 31, 2023 | 378.12 Mn |
| Dec 31, 2022 | 341.42 Mn |
| Sep 30, 2022 | 527.75 Mn |
| Jun 30, 2022 | 523.94 Mn |
| Mar 31, 2022 | 604.96 Mn |
| Dec 31, 2021 | 253.61 Mn |
| Sep 30, 2021 | 224.64 Mn |
Pool Short-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=short-term-debt-repayments&ticker=POOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=POOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();