Dnow (DNOW) Short-Term Debt repayments (2015 - 2026)
Dnow (DNOW) reported Short-Term Debt repayments of $256 million for Q2 2026, up 175.3% from the prior quarter.
Dnow (DNOW) Short-Term Debt repayments (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dnow's Short-Term Debt repayments came in at $349 million, up 119.5% year-over-year; for FY2025, it came in at $232 million.
- The Q2 2026 figure ranks as the highest quarterly Short-Term Debt repayments since Q2 2018.
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 | Dnow | 2.95 Bn | 2.29 Bn | 243.00 Mn | 256.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 256.00 Mn |
| Mar 31, 2026 | 93.00 Mn |
| Dec 31, 2019 | 50.00 Mn |
| Sep 30, 2019 | 109.00 Mn |
| Jun 30, 2019 | 127.00 Mn |
| Mar 31, 2019 | 114.00 Mn |
| Dec 31, 2018 | 100.00 Mn |
| Sep 30, 2018 | 75.00 Mn |
| Jun 30, 2018 | 286.00 Mn |
| Mar 31, 2018 | 72.00 Mn |
| Dec 31, 2017 | 83.00 Mn |
| Sep 30, 2017 | 70.00 Mn |
| Jun 30, 2017 | 67.00 Mn |
| Mar 31, 2017 | 42.00 Mn |
| Dec 31, 2016 | 106.00 Mn |
| Sep 30, 2016 | 68.00 Mn |
| Jun 30, 2016 | 59.00 Mn |
| Mar 31, 2016 | 63.00 Mn |
| Dec 31, 2015 | 112.00 Mn |
| Sep 30, 2015 | 110.00 Mn |
Dnow 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=DNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "DNOW", "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=DNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();