Artificial Intelligence Technology Solutions Inc. (AITX) Total Debt (2011 - 2026)
Artificial Intelligence Technology Solutions (AITX) reported Total Debt of $62.62 million for fiscal Q1 2027 (quarter ended May 31, 2026), up 95.3% from $32.06 million a year earlier and up 47.3% from the prior quarter.
Artificial Intelligence Technology Solutions Inc. (AITX) Total Debt (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Artificial Intelligence Technology Solutions posted Total Debt of $42.52 million, up 27.6% from FY2025.
- Total Debt has a five-year compound annual growth rate of 33.5% (FY2021 to FY2026).
- By fiscal year, Total Debt came in at $33.32 million in FY2025 (-27.5%), $45.99 million in FY2024 (+11.7%), $41.17 million in FY2023 (+51.1%) and $27.24 million in FY2022 (+172.2%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Total Debt in data going back to fiscal Q2 2012.
- Year over year, Total Debt gained in four of the last eight quarters, with growth averaging 2.9%.
- The high point for year-over-year Total Debt in five years was fiscal Q4 2022 (growth of 172.2%); the low point was fiscal Q2 2026 (a decline of 47.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $42.52 million (Q4 2026), $34.54 million (Q3 2026) and $29.78 million (Q2 2026).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 62.62 Mn |
| Feb 28, 2026 | 42.52 Mn |
| Nov 30, 2025 | 34.54 Mn |
| Aug 31, 2025 | 29.78 Mn |
| May 31, 2025 | 32.06 Mn |
| Feb 28, 2025 | 33.32 Mn |
| Nov 30, 2024 | 58.22 Mn |
| Aug 31, 2024 | 56.54 Mn |
| May 31, 2024 | 50.68 Mn |
| Feb 29, 2024 | 45.99 Mn |
| Nov 30, 2023 | 40.82 Mn |
| Aug 31, 2023 | 51.61 Mn |
| May 31, 2023 | 48.65 Mn |
| Feb 28, 2023 | 41.17 Mn |
| Nov 30, 2022 | 26.21 Mn |
| Aug 31, 2022 | 23.97 Mn |
| May 31, 2022 | 20.07 Mn |
| Feb 28, 2022 | 27.24 Mn |
| Nov 30, 2021 | 23.97 Mn |
| Aug 31, 2021 | 23.88 Mn |
Artificial Intelligence Technology Solutions Inc. Total Debt 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-debt&ticker=AITX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "AITX", "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-debt&ticker=AITX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();