Exponent (EXPO) Total Non-Current Liabilities (2010 - 2026)
Exponent's Total Non-Current Liabilities came in at $231.8 million for Q2 2027, up 10.7% from $209.44 million a year earlier and up 7.1% from the prior quarter.
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Analysis
Exponent (EXPO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026, Exponent's Total Non-Current Liabilities was $253.95 million, up 6.1% from FY2025.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 9.3% (FY2021 to FY2026).
- Going back by year, Total Non-Current Liabilities was $239.27 million in FY2025, $183.87 million in FY2023 (+6.7%) and $172.37 million in FY2022 (+5.9%).
- The five-year range for quarterly Total Non-Current Liabilities is $135.51 million (Q1 2025) to $253.95 million (Q4 2026).
- Year-over-year, Total Non-Current Liabilities has increased for six consecutive quarters, with growth averaging 14.2% over the last six quarters.
- Business Quant data shows EXPO's Total Non-Current Liabilities at $216.52 million (Q1 2027), $253.95 million (Q4 2026) and $230.88 million (Q3 2026) in the three quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 18.04 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 2.74 Bn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 23.30 Bn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 1.83 Bn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 6.63 Bn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 1.85 Bn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 9.92 Bn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 6.73 Bn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | -6.00 Mn |
| 10 | Exponent | 4.10 Bn | 3.48 Bn | - | 231.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 231.80 Mn |
| Apr 3, 2026 | 216.52 Mn |
| Jan 2, 2026 | 253.95 Mn |
| Oct 3, 2025 | 230.88 Mn |
| Jul 4, 2025 | 209.44 Mn |
| Apr 4, 2025 | 204.76 Mn |
| Jan 3, 2025 | 239.27 Mn |
| Sep 27, 2024 | 213.66 Mn |
| Jun 28, 2024 | 202.22 Mn |
| Mar 29, 2024 | 135.51 Mn |
| Dec 29, 2023 | 183.87 Mn |
| Sep 29, 2023 | 151.62 Mn |
| Jun 30, 2023 | 147.58 Mn |
| Mar 31, 2023 | 120.73 Mn |
| Dec 30, 2022 | 172.37 Mn |
| Sep 30, 2022 | 151.11 Mn |
| Jul 1, 2022 | 139.02 Mn |
| Apr 1, 2022 | 120.76 Mn |
| Dec 31, 2021 | 162.79 Mn |
| Oct 1, 2021 | 137.13 Mn |
API Access
Exponent Total Non-Current 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-non-current-liabilities&ticker=EXPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "EXPO", "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-non-current-liabilities&ticker=EXPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();