Guardforce AI (GFAI) Receivables (2019 - 2026)
Guardforce AI's Receivables came in at $5.07 million for Q2 2026, up 2.4% from $4.95 million a year earlier.
Analysis
Guardforce AI (GFAI) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2025, Guardforce AI's Receivables was $5.24 million, down 16.0% from FY2024.
- Receivables carries a five-year compound annual growth rate of -83.0% (FY2020 to FY2025).
- Going back by year, Receivables was $6.23 million in FY2024 (-21.7%), $7.95 million in FY2023, -$4.93 million in FY2022 and $5.29 million in FY2021 (-100.0%).
- The Q2 2026 figure represents the highest quarterly Receivables since Q4 2024.
- Year-over-year, Receivables increased in two of the last four quarters, with an average decline of 7.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 1.56 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 238.99 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 2.58 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 710.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.20 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 1.26 Bn |
| 10 | Guardforce AI | 7.79 Mn | -268.96 Mn | - | 5.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.07 Mn |
| Dec 31, 2025 | 4.90 Mn |
| Jun 30, 2025 | 4.95 Mn |
| Dec 31, 2024 | 6.23 Mn |
| Jun 30, 2024 | 5.65 Mn |
| Dec 31, 2023 | 6.06 Mn |
| Jun 30, 2023 | 12.84 Mn |
| Dec 31, 2022 | -4.93 Mn |
| Jun 30, 2022 | -647,374.00 |
| Mar 22, 2022 | 896,327.00 |
| Dec 31, 2021 | 5.29 Mn |
| Jun 30, 2021 | 5.80 Mn |
| Dec 31, 2020 | -37.29 Bn |
| Dec 31, 2019 | 5.55 Mn |
API Access
Guardforce AI Receivables 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=receivables&ticker=GFAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "GFAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=GFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();