Azz (AZZ) Total Liabilities (2011 - 2026)
Azz's Total Liabilities came in at $876.28 million for fiscal Q1 2027 (quarter ended May 31, 2026), down 7.3% from $944.89 million a year earlier and unchanged from the prior quarter.
Azz (AZZ) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Azz's Total Liabilities was $876.44 million, down 25.8% from FY2025.
- Total Liabilities has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 18.4% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $1.18 billion in FY2025 (-20.9%), $1.49 billion in FY2024 (-6.7%), $1.6 billion in FY2023 (+244.0%) and $465.66 million in FY2022 (+23.9%).
- The fiscal Q1 2027 figure represents the lowest quarterly Total Liabilities since fiscal Q4 2022.
- Year-over-year, Total Liabilities has declined for ten consecutive quarters, with an average decline of 21.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2023 (growth of 421.3%), and the weakest in fiscal Q4 2026 (a decline of 25.8%).
- Business Quant data shows AZZ's Total Liabilities at $876.44 million (Q4 2026), $911.66 million (Q3 2026) and $922.95 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Azz | 4.03 Bn | 4.03 Bn | 112.17 Mn | 876.28 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 876.28 Mn |
| Feb 28, 2026 | 876.44 Mn |
| Nov 30, 2025 | 911.66 Mn |
| Aug 31, 2025 | 922.95 Mn |
| May 31, 2025 | 944.89 Mn |
| Feb 28, 2025 | 1.18 Bn |
| Nov 30, 2024 | 1.21 Bn |
| Aug 31, 2024 | 1.24 Bn |
| May 31, 2024 | 1.27 Bn |
| Feb 29, 2024 | 1.49 Bn |
| Nov 30, 2023 | 1.52 Bn |
| Aug 31, 2023 | 1.55 Bn |
| May 31, 2023 | 1.57 Bn |
| Feb 28, 2023 | 1.60 Bn |
| Nov 30, 2022 | 1.35 Bn |
| Aug 31, 2022 | 1.73 Bn |
| May 31, 2022 | 2.09 Bn |
| Feb 28, 2022 | 465.66 Mn |
| Nov 30, 2021 | 389.53 Mn |
| Aug 31, 2021 | 384.81 Mn |
Azz Total 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-liabilities&ticker=AZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AZZ", "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-liabilities&ticker=AZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();