Artificial Intelligence Technology Solutions Inc. (AITX) Debt Ratio (2011 - 2026)
Artificial Intelligence Technology Solutions' Debt Ratio came in at 6.90 for fiscal Q1 2027 (quarter ended May 31, 2026), up 110.0% from 3.28 a year earlier and up 50.9% from the prior quarter.
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Analysis
Artificial Intelligence Technology Solutions Inc. (AITX) Debt Ratio (2011 - 2026) Analysis & Trends
For FY2026 (ended Feb 28, 2026), Artificial Intelligence Technology Solutions' Debt Ratio was 4.57, up 50.7% from FY2025.
- Going back by fiscal year, Debt Ratio was 3.03 in FY2025 (-49.9%), 6.05 in FY2024 (-7.4%), 6.54 in FY2023 (+122.7%) and 2.94 in FY2022 (-54.0%).
- The fiscal Q1 2027 figure represents the highest quarterly Debt Ratio since fiscal Q2 2024.
- Year-over-year, Debt Ratio increased in three of the last eight quarters, with an average decline of 4.2%.
- The fastest year-over-year change in Debt Ratio over five years came in fiscal Q1 2024 (growth of 132.2%), and the weakest in fiscal Q4 2022 (a decline of 54.0%).
- Business Quant data shows AITX's Debt Ratio at 4.57 (Q4 2026), 3.59 (Q3 2026) and 3.13 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 6.90 |
| Feb 28, 2026 | 4.57 |
| Nov 30, 2025 | 3.59 |
| Aug 31, 2025 | 3.13 |
| May 31, 2025 | 3.28 |
| Feb 28, 2025 | 3.03 |
| Nov 30, 2024 | 5.94 |
| Aug 31, 2024 | 6.14 |
| May 31, 2024 | 6.39 |
| Feb 29, 2024 | 6.05 |
| Nov 30, 2023 | 5.72 |
| Aug 31, 2023 | 6.91 |
| May 31, 2023 | 8.35 |
| Feb 28, 2023 | 6.54 |
| Nov 30, 2022 | 4.28 |
| Aug 31, 2022 | 4.07 |
| May 31, 2022 | 3.59 |
| Feb 28, 2022 | 2.94 |
| Nov 30, 2021 | 2.58 |
| Aug 31, 2021 | 4.38 |
API Access
Artificial Intelligence Technology Solutions Inc. Debt Ratio 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=debt-ratio&ticker=AITX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=AITX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();