Dnow (DNOW) Total Non-Current Liabilities (2013 - 2026)
Dnow (DNOW) posted Total Non-Current Liabilities of $1.65 billion for Q2 2026, up 232.9% from $495 million a year earlier but down 3.8% from the prior quarter.
Dnow (DNOW) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Dnow's Total Non-Current Liabilities came in at $1.61 billion, up 242.5% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 40.3% (FY2020 to FY2025).
- In prior years, Dnow's Total Non-Current Liabilities was $471 million in FY2024 (+5.1%), $448 million in FY2023 (-3.7%), $465 million in FY2022 (+20.5%) and $386 million in FY2021 (+30.0%).
- Quarterly Total Non-Current Liabilities has run from a low of $386 million in Q4 2021 to a high of $1.71 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last five quarters, with growth averaging 92.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2026, with growth of 250.3%; the weakest was Q2 2024, with a decline of 15.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.71 billion (Q1 2026), $1.61 billion (Q4 2025) and $460 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.85 Bn | 64.61 Bn | 1.73 Bn | 21.88 Bn |
| 2 | W.W. Grainger | 63.24 Bn | 60.83 Bn | 1.98 Bn | - |
| 3 | Fastenal | 59.70 Bn | 58.63 Bn | 1.06 Bn | 1.21 Bn |
| 4 | Ferguson Enterprises | 44.38 Bn | 41.59 Bn | 2.32 Bn | 11.17 Bn |
| 5 | Sunbelt Rentals Holdings | 31.86 Bn | 31.74 Bn | 1.25 Bn | 13.44 Bn |
| 6 | Reliance | 21.44 Bn | 20.48 Bn | 1.30 Bn | 3.67 Bn |
| 7 | Wesco International | 16.94 Bn | 14.26 Bn | 1.46 Bn | 12.26 Bn |
| 8 | Applied Industrial Technologies | 12.54 Bn | 12.42 Bn | 411.22 Mn | 874.71 Mn |
| 9 | Watsco | 11.59 Bn | 9.27 Bn | 578.93 Mn | - |
| 10 | Dnow | 2.90 Bn | 2.24 Bn | 243.00 Mn | 1.65 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.65 Bn |
| Mar 31, 2026 | 1.71 Bn |
| Dec 31, 2025 | 1.61 Bn |
| Sep 30, 2025 | 460.00 Mn |
| Jun 30, 2025 | 495.00 Mn |
| Mar 31, 2025 | 489.00 Mn |
| Dec 31, 2024 | 471.00 Mn |
| Sep 30, 2024 | 448.00 Mn |
| Jun 30, 2024 | 444.00 Mn |
| Mar 31, 2024 | 495.00 Mn |
| Dec 31, 2023 | 448.00 Mn |
| Sep 30, 2023 | 452.00 Mn |
| Jun 30, 2023 | 528.00 Mn |
| Mar 31, 2023 | 473.00 Mn |
| Dec 31, 2022 | 465.00 Mn |
| Sep 30, 2022 | 469.00 Mn |
| Jun 30, 2022 | 420.00 Mn |
| Mar 31, 2022 | 411.00 Mn |
| Dec 31, 2021 | 386.00 Mn |
| Sep 30, 2021 | 392.00 Mn |
Dnow Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();