APi (APG) Cost of Revenue (2019 - 2026)
APi (APG) reported Cost of Revenue of $1.78 billion for Q3 2026, up 24.5% from $1.43 billion a year earlier and up 15.0% from the prior quarter.
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Analysis
APi (APG) Cost of Revenue (2019 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, APi's Cost of Revenue came in at $6.14 billion, up 16.4% year-over-year; for FY2025, it came in at $5.42 billion, up 12.1% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $4.84 billion in FY2024 (-3.0%), $4.99 billion in FY2023 (+3.0%), $4.84 billion in FY2022 (+61.4%) and $3 billion in FY2021 (+6.0%).
- The Q3 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to Q1 2019.
- Year over year, Cost of Revenue has now increased in each of the last eight quarters, with growth averaging 12.9% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q1 2022 (growth of 76.0%); the low point was Q2 2024 (a decline of 7.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.55 billion (Q2 2026), $1.36 billion (Q1 2026) and $1.44 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 12.69 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 1.46 Bn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 926.65 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 506.77 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 1.78 Bn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 400.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 4.63 Bn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 433.14 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | Tetra Tech | 10.41 Bn | 9.52 Bn | 243.21 Mn | 200.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.78 Bn |
| Jun 30, 2026 | 1.55 Bn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 1.44 Bn |
| Sep 30, 2025 | 1.43 Bn |
| Jun 30, 2025 | 1.38 Bn |
| Mar 31, 2025 | 1.18 Bn |
| Dec 31, 2024 | 1.29 Bn |
| Sep 30, 2024 | 1.26 Bn |
| Jun 30, 2024 | 1.19 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Sep 30, 2023 | 1.27 Bn |
| Jun 30, 2023 | 1.28 Bn |
| Mar 31, 2023 | 1.19 Bn |
| Dec 31, 2022 | 1.24 Bn |
| Sep 30, 2022 | 1.30 Bn |
| Jun 30, 2022 | 1.21 Bn |
| Mar 31, 2022 | 1.10 Bn |
| Dec 31, 2021 | 838.00 Mn |
API Access
APi Cost of Revenue 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=cost-of-revenue&ticker=APG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();