APi (APG) Income Taxes Paid (2019 - 2026)
APi (APG) reported Income Taxes Paid of $24 million for Q3 2026, down 17.2% from $29 million a year earlier and down 42.9% from the prior quarter.
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Analysis
APi (APG) Income Taxes Paid (2019 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, APi's Income Taxes Paid came in at $98 million, down 22.8% year-over-year; for FY2025, it was $111 million, up 9.9% from FY2024.
- Income Taxes Paid has increased for three consecutive years, with a five-year compound annual growth rate of 30.8% (FY2020 to FY2025).
- By year, Income Taxes Paid came in at $101 million in FY2024 (+6.3%), $95 million in FY2023 (+120.9%), $43 million in FY2022 (-34.8%) and $66 million in FY2021 (+127.6%).
- Five-year quarterly Income Taxes Paid spans a low of $8 million in Q1 2022 and a high of $42 million in Q2 2026.
- Year over year, Income Taxes Paid gained in four of the last eight quarters, with growth averaging 18.3%.
- The high point for year-over-year Income Taxes Paid in five years was Q1 2022 (growth of 300.0%); the low point was Q2 2022 (a decline of 81.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $42 million (Q2 2026), $13 million (Q1 2026) and $19 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 158.36 Bn | 116.29 Bn | 5.98 Bn | 634.57 Mn |
| 2 | Cintas | 89.22 Bn | 88.30 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 33.79 Bn | 32.98 Bn | 1.06 Bn | 32.73 Mn |
| 4 | APi | 18.40 Bn | 15.62 Bn | 770.00 Mn | 24.00 Mn |
| 5 | Rollins | 18.32 Bn | 17.86 Bn | 582.90 Mn | -28.30 Mn |
| 6 | UL Solutions | 16.54 Bn | 14.54 Bn | 423.00 Mn | 28.00 Mn |
| 7 | Aramark | 14.37 Bn | 12.31 Bn | 430.34 Mn | 23.67 Mn |
| 8 | Gartner | 12.14 Bn | 5.62 Bn | 1.07 Bn | - |
| 9 | Rentokil Initial | 12.04 Bn | 5.55 Bn | - | - |
| 10 | Tetra Tech | 10.65 Bn | 9.76 Bn | 243.21 Mn | 19.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.00 Mn |
| Jun 30, 2026 | 42.00 Mn |
| Mar 31, 2026 | 13.00 Mn |
| Dec 31, 2025 | 19.00 Mn |
| Sep 30, 2025 | 29.00 Mn |
| Jun 30, 2025 | 40.00 Mn |
| Mar 31, 2025 | 23.00 Mn |
| Dec 31, 2024 | 35.00 Mn |
| Sep 30, 2024 | 14.00 Mn |
| Jun 30, 2024 | 17.00 Mn |
| Mar 31, 2024 | 35.00 Mn |
| Dec 31, 2023 | 25.00 Mn |
| Sep 30, 2023 | 22.00 Mn |
| Jun 30, 2023 | 29.00 Mn |
| Mar 31, 2023 | 19.00 Mn |
| Dec 31, 2022 | 19.00 Mn |
| Sep 30, 2022 | 8.00 Mn |
| Jun 30, 2022 | 8.00 Mn |
| Mar 31, 2022 | 8.00 Mn |
| Dec 31, 2021 | 11.00 Mn |
API Access
APi Income Taxes Paid 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=income-taxes-paid&ticker=APG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();