Northern Technologies International (NTIC) Operating Expenses (2010 - 2026)
Northern Technologies International's Operating Expenses was $10.18 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 5.3% from $9.67 million a year earlier and up 7.1% from the prior quarter.
Northern Technologies International (NTIC) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Northern Technologies International's Operating Expenses was $39.12 million through May 31, 2026, up 4.5% year-over-year; for FY2025 (ended Aug 31, 2025), it was $37.65 million, up 6.4% from FY2024.
- Operating Expenses has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $35.39 million in FY2024 (+5.9%), $33.43 million in FY2023 (+17.6%), $28.41 million in FY2022 (+15.1%) and $24.68 million in FY2021 (+5.8%).
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Compared with a year earlier, Operating Expenses has increased for 21 straight quarters, with growth averaging 5.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 2.2% in fiscal Q4 2025 to 24.1% in fiscal Q4 2021.
- Per Business Quant data, NTIC's Operating Expenses in the three fiscal quarters before Q3 2026 was $9.5 million (Q2 2026), $9.74 million (Q1 2026) and $9.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 99.60 Mn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 1.15 Bn |
| 10 | Northern Technologies International | 73.12 Mn | 45.74 Mn | 8.14 Mn | 10.18 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 10.18 Mn |
| Feb 28, 2026 | 9.50 Mn |
| Nov 30, 2025 | 9.74 Mn |
| Aug 31, 2025 | 9.70 Mn |
| May 31, 2025 | 9.67 Mn |
| Feb 28, 2025 | 8.82 Mn |
| Nov 30, 2024 | 9.47 Mn |
| Aug 31, 2024 | 9.49 Mn |
| May 31, 2024 | 8.98 Mn |
| Feb 29, 2024 | 8.61 Mn |
| Nov 30, 2023 | 8.31 Mn |
| Aug 31, 2023 | 9.28 Mn |
| May 31, 2023 | 8.38 Mn |
| Feb 28, 2023 | 7.87 Mn |
| Nov 30, 2022 | 7.89 Mn |
| Aug 31, 2022 | 7.52 Mn |
| May 31, 2022 | 7.11 Mn |
| Feb 28, 2022 | 6.71 Mn |
| Nov 30, 2021 | 7.07 Mn |
| Aug 31, 2021 | 6.59 Mn |
Northern Technologies International Operating 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=operating-expenses&ticker=NTIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NTIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();