Northern Technologies International (NTIC) Change in Accured Expenses (2010 - 2026)
Northern Technologies International's Change in Accured Expenses was $574,743 in fiscal Q3 2026 (quarter ended May 31, 2026), up 9.1% from $526,644 a year earlier.
Northern Technologies International (NTIC) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Northern Technologies International's Change in Accured Expenses was -$390,752 through May 31, 2026; for FY2025 (ended Aug 31, 2025), it was -$846,105.
- In earlier fiscal years, Change in Accured Expenses was $232,290 in FY2024 (-83.9%), $1.44 million in FY2023, -$1.12 million in FY2022 and $1.39 million in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly Change in Accured Expenses since fiscal Q4 2024.
- Compared with a year earlier, Change in Accured Expenses was higher in 1 of the last four quarters, with an average decline of 47.1%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q3 2024 (growth of 945.3%); the worst was fiscal Q1 2026 (a decline of 97.0%).
- Per Business Quant data, NTIC's Change in Accured Expenses in the three fiscal quarters before Q3 2026 was -$582,898 (Q2 2026), $8,999 (Q1 2026) and -$391,596 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.92 Bn | 214.50 Bn | 4.43 Bn | 56.00 Mn |
| 2 | Corning | 114.46 Bn | 107.03 Bn | 1.63 Bn | 275.00 Mn |
| 3 | Sherwin Williams | 80.97 Bn | 80.01 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 66.60 Bn | 61.78 Bn | 1.04 Bn | 43.80 Mn |
| 5 | LyondellBasell Industries | 41.19 Bn | 30.70 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.79 Bn | 30.61 Bn | 3.25 Bn | 122.00 Mn |
| 7 | Ati | 25.83 Bn | 23.86 Bn | 309.80 Mn | - |
| 8 | Qnity Electronics | 24.96 Bn | 22.09 Bn | 666.00 Mn | 110.00 Mn |
| 9 | Ppg Industries | 23.98 Bn | 16.63 Bn | 1.81 Bn | 272.00 Mn |
| 10 | Northern Technologies International | 73.12 Mn | 45.74 Mn | 8.14 Mn | 574,743.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 574,743.00 |
| Feb 28, 2026 | -582,898.00 |
| Nov 30, 2025 | 8,999.00 |
| Aug 31, 2025 | -391,596.00 |
| May 31, 2025 | 526,644.00 |
| Feb 28, 2025 | -1.28 Mn |
| Nov 30, 2024 | 299,800.00 |
| Aug 31, 2024 | 656,703.00 |
| May 31, 2024 | 823,333.00 |
| Feb 29, 2024 | -703,335.00 |
| Nov 30, 2023 | -544,411.00 |
| Aug 31, 2023 | 1.85 Mn |
| May 31, 2023 | 78,762.00 |
| Feb 28, 2023 | -233,779.00 |
| Nov 30, 2022 | -254,442.00 |
| Aug 31, 2022 | -209,880.00 |
| May 31, 2022 | 802,499.00 |
| Feb 28, 2022 | -98,203.00 |
| Nov 30, 2021 | -1.62 Mn |
| Aug 31, 2021 | 586,249.00 |
Northern Technologies International Change in Accured Expenses 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=change-in-accured-expenses&ticker=NTIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "NTIC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=NTIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();