APi (APG) Total Non-Current Liabilities (2019 - 2026)
APi's Total Non-Current Liabilities came in at $6.63 billion for Q3 2026, up 26.6% from $5.24 billion a year earlier and up 6.0% from the prior quarter.
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Analysis
APi (APG) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, APi's Total Non-Current Liabilities was $5.36 billion, up 5.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $5.06 billion in FY2024 (-6.0%), $5.38 billion in FY2023 (-7.5%), $5.82 billion in FY2022 (+112.1%) and $2.74 billion in FY2021 (+17.4%).
- The Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- Year-over-year, Total Non-Current Liabilities has increased for seven consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 151.8%), and the weakest in Q1 2024 (a decline of 13.3%).
- Business Quant data shows APG's Total Non-Current Liabilities at $6.26 billion (Q2 2026), $5.31 billion (Q1 2026) and $5.36 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 155.46 Bn | 113.39 Bn | 5.98 Bn | 18.04 Bn |
| 2 | Cintas | 91.19 Bn | 90.27 Bn | 1.55 Bn | 2.74 Bn |
| 3 | Iron Mountain | 33.43 Bn | 32.62 Bn | 1.06 Bn | 23.30 Bn |
| 4 | APi | 18.50 Bn | 15.72 Bn | 770.00 Mn | 6.63 Bn |
| 5 | Rollins | 18.35 Bn | 17.89 Bn | 582.90 Mn | 1.83 Bn |
| 6 | UL Solutions | 16.47 Bn | 14.50 Bn | 423.00 Mn | 1.85 Bn |
| 7 | Aramark | 14.20 Bn | 12.21 Bn | 430.34 Mn | 9.92 Bn |
| 8 | Rentokil Initial | 12.12 Bn | 5.63 Bn | - | -6.00 Mn |
| 9 | Gartner | 12.05 Bn | 5.53 Bn | 1.07 Bn | 6.73 Bn |
| 10 | Booz Allen Hamilton Holding | 10.28 Bn | 7.80 Bn | 1.45 Bn | 6.89 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.63 Bn |
| Jun 30, 2026 | 6.26 Bn |
| Mar 31, 2026 | 5.31 Bn |
| Dec 31, 2025 | 5.36 Bn |
| Sep 30, 2025 | 5.24 Bn |
| Jun 30, 2025 | 5.15 Bn |
| Mar 31, 2025 | 4.95 Bn |
| Dec 31, 2024 | 5.06 Bn |
| Sep 30, 2024 | 5.11 Bn |
| Jun 30, 2024 | 4.97 Bn |
| Mar 31, 2024 | 4.71 Bn |
| Dec 31, 2023 | 5.38 Bn |
| Sep 30, 2023 | 5.57 Bn |
| Jun 30, 2023 | 5.58 Bn |
| Mar 31, 2023 | 5.44 Bn |
| Dec 31, 2022 | 5.82 Bn |
| Sep 30, 2022 | 5.65 Bn |
| Jun 30, 2022 | 5.74 Bn |
| Mar 31, 2022 | 5.70 Bn |
| Dec 31, 2021 | 2.74 Bn |
API Access
APi 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=APG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();