APi (APG) Non Operating Interest Expenses (2019 - 2026)
APi (APG) reported Non Operating Interest Expenses of $45 million for Q3 2026, up 32.4% from $34 million a year earlier and up 25.0% from the prior quarter.
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Analysis
APi (APG) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, APi's Non Operating Interest Expenses came in at $145 million, up 1.4% year-over-year; for FY2023, it came in at $145 million, up 16.0% from FY2022.
- Non Operating Interest Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 45.8% (FY2018 to FY2023).
- By year, Non Operating Interest Expenses came in at $125 million in FY2022 (+108.3%), $60 million in FY2021 (+15.4%), $52 million in FY2020 (+246.7%) and $15 million in FY2019 (-31.8%).
- The Q3 2026 figure ranks as the highest quarterly Non Operating Interest Expenses in data going back to Q1 2019.
- Year over year, Non Operating Interest Expenses gained in two of the last four quarters, with growth averaging 5.1%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2022 (growth of 135.7%); the low point was Q1 2026 (a decline of 21.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 155.46 Bn | 113.39 Bn | 5.98 Bn | 103.82 Mn |
| 2 | Cintas | 91.19 Bn | 90.27 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 33.43 Bn | 32.62 Bn | 1.06 Bn | - |
| 4 | APi | 18.50 Bn | 15.72 Bn | 770.00 Mn | 45.00 Mn |
| 5 | Rollins | 18.35 Bn | 17.89 Bn | 582.90 Mn | 10.67 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.50 Bn | 423.00 Mn | 6.00 Mn |
| 7 | Aramark | 14.20 Bn | 12.21 Bn | 430.34 Mn | 79.86 Mn |
| 8 | Rentokil Initial | 12.12 Bn | 5.63 Bn | - | - |
| 9 | Gartner | 12.05 Bn | 5.53 Bn | 1.07 Bn | 23.64 Mn |
| 10 | Booz Allen Hamilton Holding | 10.28 Bn | 7.80 Bn | 1.45 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 45.00 Mn |
| Jun 30, 2026 | 36.00 Mn |
| Mar 31, 2026 | 30.00 Mn |
| Dec 31, 2025 | 32.00 Mn |
| Sep 30, 2025 | 34.00 Mn |
| Jun 30, 2025 | 37.00 Mn |
| Mar 31, 2025 | 38.00 Mn |
| Dec 31, 2024 | 36.00 Mn |
| Sep 30, 2024 | 41.00 Mn |
| Jun 30, 2024 | 35.00 Mn |
| Mar 31, 2024 | 34.00 Mn |
| Dec 31, 2023 | 33.00 Mn |
| Sep 30, 2023 | 37.00 Mn |
| Jun 30, 2023 | 38.00 Mn |
| Mar 31, 2023 | 37.00 Mn |
| Dec 31, 2022 | 37.00 Mn |
| Sep 30, 2022 | 33.00 Mn |
| Jun 30, 2022 | 28.00 Mn |
| Mar 31, 2022 | 27.00 Mn |
| Dec 31, 2021 | 17.00 Mn |
API Access
APi 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=APG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "APG", "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=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();