Gap (GAP) Non Operating Interest Expenses (2009 - 2026)
Gap's Non Operating Interest Expenses came in at $24 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 4.3% from $23 million a year earlier and up 9.1% from the prior quarter.
Gap (GAP) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Gap reported Non Operating Interest Expenses of $93 million, up 5.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $93 million, up 6.9% from FY2025.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -13.5% (FY2021 to FY2026).
- Going back by fiscal year, Non Operating Interest Expenses was $87 million in FY2025 (-3.3%), $90 million in FY2024 (+2.3%), $88 million in FY2023 (-47.3%) and $167 million in FY2022 (-13.0%).
- The five-year range for quarterly Non Operating Interest Expenses is $15 million (fiscal Q2 2024) to $44 million (fiscal Q3 2022).
- Year-over-year, Non Operating Interest Expenses increased in three of the last eight quarters, with an average decline of 0.9%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q2 2025 (growth of 60.0%), and the weakest in fiscal Q4 2022 (a decline of 70.0%).
- Business Quant data shows GAP's Non Operating Interest Expenses at $22 million (Q1 2027), $24 million (Q4 2026) and $23 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 69.87 Mn |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 101.00 Mn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 98.00 Mn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | - |
| 10 | Gap | 8.15 Bn | -2.41 Bn | 1.93 Bn | 24.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 24.00 Mn |
| May 2, 2026 | 22.00 Mn |
| Jan 31, 2026 | 24.00 Mn |
| Nov 1, 2025 | 23.00 Mn |
| Aug 2, 2025 | 23.00 Mn |
| May 3, 2025 | 23.00 Mn |
| Feb 1, 2025 | 19.00 Mn |
| Nov 2, 2024 | 23.00 Mn |
| Aug 3, 2024 | 24.00 Mn |
| May 4, 2024 | 21.00 Mn |
| Feb 3, 2024 | 24.00 Mn |
| Oct 28, 2023 | 28.00 Mn |
| Jul 29, 2023 | 15.00 Mn |
| Apr 29, 2023 | 23.00 Mn |
| Jan 28, 2023 | 25.00 Mn |
| Oct 29, 2022 | 22.00 Mn |
| Jul 30, 2022 | 21.00 Mn |
| Apr 30, 2022 | 20.00 Mn |
| Jan 29, 2022 | 18.00 Mn |
| Oct 30, 2021 | 44.00 Mn |
Gap Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=GAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "GAP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=GAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();