Apa (APA) Non Operating Interest Expenses (2020 - 2026)
Apa's Non Operating Interest Expenses was $58 million in Q2 2026, down 12.1% from $66 million a year earlier but up 1.8% from the prior quarter.
Powered by 
Analysis
Apa (APA) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Apa's Non Operating Interest Expenses was $219 million through Jun 30, 2026, up 9.5% year-over-year; for FY2025, it came in at $113 million, down 69.2% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -15.8% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $367 million in FY2024 (+17.6%), $312 million in FY2023 (-17.7%), $379 million in FY2022 (-26.3%) and $514 million in FY2021 (+92.5%).
- Quarterly Non Operating Interest Expenses has moved between -$57 million (Q1 2025) and $205 million (Q3 2021) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last six quarters, with an average decline of 15.8%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q3 2021 (growth of 107.1%); the worst was Q3 2022 (a decline of 63.4%).
- Per Business Quant data, APA's Non Operating Interest Expenses in the three quarters before Q2 2026 was $57 million (Q1 2026), $58 million (Q4 2025) and $46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 674.05 Bn | 638.92 Bn | - | 183.00 Mn |
| 2 | Chevron | 418.62 Bn | 391.31 Bn | 31.26 Bn | 304.00 Mn |
| 3 | Shell | 284.86 Bn | 146.21 Bn | - | - |
| 4 | TotalEnergies SE | 195.90 Bn | 71.25 Bn | 31,614.00 | -555.00 |
| 5 | Eni Spa | 175.27 Bn | 118.46 Bn | - | -2.05 Bn |
| 6 | Conocophillips | 162.77 Bn | 135.48 Bn | 12.81 Bn | 182.00 Mn |
| 7 | Equinor Asa | 106.21 Bn | 19.14 Bn | 4.49 Bn | - |
| 8 | Canadian Natural Resources | 101.79 Bn | 95.69 Bn | 9.35 Bn | 157.15 Mn |
| 9 | Phillips 66 | 96.33 Bn | 81.29 Bn | 10.69 Bn | 243.00 Mn |
| 10 | Apa | 14.60 Bn | 14.20 Bn | 2.48 Bn | 35.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.00 Mn |
| Jun 30, 2026 | 58.00 Mn |
| Mar 31, 2026 | 57.00 Mn |
| Dec 31, 2025 | 58.00 Mn |
| Sep 30, 2025 | 46.00 Mn |
| Jun 30, 2025 | 66.00 Mn |
| Mar 31, 2025 | -57.00 Mn |
| Dec 31, 2024 | 91.00 Mn |
| Sep 30, 2024 | 100.00 Mn |
| Jun 30, 2024 | 100.00 Mn |
| Mar 31, 2024 | 76.00 Mn |
| Dec 31, 2023 | 77.00 Mn |
| Sep 30, 2023 | 81.00 Mn |
| Jun 30, 2023 | 82.00 Mn |
| Mar 31, 2023 | 72.00 Mn |
| Dec 31, 2022 | 76.00 Mn |
| Sep 30, 2022 | 75.00 Mn |
| Jun 30, 2022 | 76.00 Mn |
| Mar 31, 2022 | 152.00 Mn |
| Dec 31, 2021 | 92.00 Mn |
API Access
Apa 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=APA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "APA", "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=APA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();